Overview

Dataset statistics

Number of variables280
Number of observations401958
Missing cells51293905
Missing cells (%)45.6%
Total size in memory858.7 MiB
Average record size in memory2.2 KiB

Variable types

Numeric277
Unsupported3

Alerts

CTELENM1 has constant value "1.0" Constant
COLGHOUS has constant value "1.0" Constant
STATERE1 has constant value "1.0" Constant
CELPHONE has constant value "2.0" Constant
SAFETIME has constant value "1.0" Constant
CTELNUM1 has constant value "1.0" Constant
CELLFON5 has constant value "1.0" Constant
CADULT1 has constant value "1.0" Constant
CCLGHOUS has constant value "1.0" Constant
CTELENM1 has 277207 (69.0%) missing values Missing
PVTRESD1 has 277207 (69.0%) missing values Missing
COLGHOUS has 401935 (> 99.9%) missing values Missing
STATERE1 has 277207 (69.0%) missing values Missing
CELPHONE has 277207 (69.0%) missing values Missing
LADULT1 has 277207 (69.0%) missing values Missing
COLGSEX has 401935 (> 99.9%) missing values Missing
NUMADULT has 277216 (69.0%) missing values Missing
LANDSEX has 350509 (87.2%) missing values Missing
NUMMEN has 291536 (72.5%) missing values Missing
NUMWOMEN has 291536 (72.5%) missing values Missing
RESPSLCT has 354532 (88.2%) missing values Missing
SAFETIME has 124751 (31.0%) missing values Missing
CTELNUM1 has 124751 (31.0%) missing values Missing
CELLFON5 has 124751 (31.0%) missing values Missing
CADULT1 has 124755 (31.0%) missing values Missing
CELLSEX has 124771 (31.0%) missing values Missing
PVTRESD3 has 124752 (31.0%) missing values Missing
CCLGHOUS has 400979 (99.8%) missing values Missing
CSTATE1 has 124758 (31.0%) missing values Missing
LANDLINE has 124752 (31.0%) missing values Missing
HHADULT has 124753 (31.0%) missing values Missing
POORHLTH has 200343 (49.8%) missing values Missing
ASTHNOW has 347817 (86.5%) missing values Missing
DIABAGE3 has 349864 (87.0%) missing values Missing
NUMHHOL3 has 277212 (69.0%) missing values Missing
NUMPHON3 has 371708 (92.5%) missing values Missing
CHILDREN has 4767 (1.2%) missing values Missing
INCOME2 has 7358 (1.8%) missing values Missing
PREGNANT has 326368 (81.2%) missing values Missing
WEIGHT2 has 9852 (2.5%) missing values Missing
HEIGHT3 has 10824 (2.7%) missing values Missing
DEAF has 12415 (3.1%) missing values Missing
BLIND has 13324 (3.3%) missing values Missing
DECIDE has 14351 (3.6%) missing values Missing
DIFFWALK has 15280 (3.8%) missing values Missing
DIFFDRES has 15892 (4.0%) missing values Missing
DIFFALON has 16769 (4.2%) missing values Missing
SMOKE100 has 17860 (4.4%) missing values Missing
SMOKDAY2 has 245324 (61.0%) missing values Missing
STOPSMK2 has 349535 (87.0%) missing values Missing
LASTSMK2 has 298233 (74.2%) missing values Missing
USENOW3 has 18493 (4.6%) missing values Missing
ALCDAY5 has 20927 (5.2%) missing values Missing
AVEDRNK3 has 211099 (52.5%) missing values Missing
DRNK3GE5 has 211626 (52.6%) missing values Missing
MAXDRNKS has 212112 (52.8%) missing values Missing
FLUSHOT7 has 23525 (5.9%) missing values Missing
FLSHTMY3 has 205030 (51.0%) missing values Missing
SHINGLE2 has 165874 (41.3%) missing values Missing
PNEUVAC4 has 24437 (6.1%) missing values Missing
FALL12MN has 137808 (34.3%) missing values Missing
FALLINJ4 has 333322 (82.9%) missing values Missing
SEATBELT has 25511 (6.3%) missing values Missing
DRNKDRI2 has 208430 (51.9%) missing values Missing
HADMAM has 198438 (49.4%) missing values Missing
HOWLONG has 245446 (61.1%) missing values Missing
HADPAP2 has 198942 (49.5%) missing values Missing
LASTPAP2 has 215438 (53.6%) missing values Missing
HPVTEST has 199388 (49.6%) missing values Missing
HPLSTTST has 336493 (83.7%) missing values Missing
HADHYST2 has 201690 (50.2%) missing values Missing
PCPSAAD3 has 275393 (68.5%) missing values Missing
PCPSADI1 has 275622 (68.6%) missing values Missing
PCPSARE1 has 275882 (68.6%) missing values Missing
PSATEST1 has 276043 (68.7%) missing values Missing
PSATIME has 343595 (85.5%) missing values Missing
PCPSARS1 has 343707 (85.5%) missing values Missing
COLNSCPY has 143403 (35.7%) missing values Missing
COLNTEST has 220603 (54.9%) missing values Missing
SIGMSCPY has 143927 (35.8%) missing values Missing
SIGMTEST has 370070 (92.1%) missing values Missing
BLDSTOL1 has 144393 (35.9%) missing values Missing
LSTBLDS4 has 318862 (79.3%) missing values Missing
STOOLDNA has 144914 (36.1%) missing values Missing
SDNATEST has 383572 (95.4%) missing values Missing
VIRCOLON has 145453 (36.2%) missing values Missing
VCLNTEST has 390737 (97.2%) missing values Missing
HIVTST7 has 34037 (8.5%) missing values Missing
HIVTSTD3 has 285136 (70.9%) missing values Missing
HIVRISK5 has 35932 (8.9%) missing values Missing
PDIABTST has 183016 (45.5%) missing values Missing
PREDIAB1 has 182965 (45.5%) missing values Missing
INSULIN1 has 388849 (96.7%) missing values Missing
BLDSUGAR has 388850 (96.7%) missing values Missing
FEETCHK3 has 388850 (96.7%) missing values Missing
DOCTDIAB has 388850 (96.7%) missing values Missing
CHKHEMO3 has 388850 (96.7%) missing values Missing
FEETCHK has 388925 (96.8%) missing values Missing
EYEEXAM1 has 388850 (96.7%) missing values Missing
DIABEYE has 388850 (96.7%) missing values Missing
DIABEDU has 388850 (96.7%) missing values Missing
TOLDCFS has 401958 (100.0%) missing values Missing
HAVECFS has 401958 (100.0%) missing values Missing
WORKCFS has 401958 (100.0%) missing values Missing
TOLDHEPC has 383151 (95.3%) missing values Missing
TRETHEPC has 401687 (99.9%) missing values Missing
PRIRHEPC has 401687 (99.9%) missing values Missing
HAVEHEPC has 401687 (99.9%) missing values Missing
HAVEHEPB has 383186 (95.3%) missing values Missing
MEDSHEPB has 401807 (> 99.9%) missing values Missing
HLTHCVR1 has 362563 (90.2%) missing values Missing
CIMEMLOS has 334120 (83.1%) missing values Missing
CDHOUSE has 395834 (98.5%) missing values Missing
CDASSIST has 395847 (98.5%) missing values Missing
CDHELP has 400293 (99.6%) missing values Missing
CDSOCIAL has 395855 (98.5%) missing values Missing
CDDISCUS has 395865 (98.5%) missing values Missing
CAREGIV1 has 371480 (92.4%) missing values Missing
CRGVREL4 has 396104 (98.5%) missing values Missing
CRGVLNG1 has 396112 (98.5%) missing values Missing
CRGVHRS1 has 396130 (98.6%) missing values Missing
CRGVPRB3 has 396148 (98.6%) missing values Missing
CRGVALZD has 396612 (98.7%) missing values Missing
CRGVPER1 has 396163 (98.6%) missing values Missing
CRGVHOU1 has 396172 (98.6%) missing values Missing
CRGVEXPT has 372320 (92.6%) missing values Missing
ECIGARET has 137397 (34.2%) missing values Missing
ECIGNOW has 351208 (87.4%) missing values Missing
MARIJAN1 has 271339 (67.5%) missing values Missing
USEMRJN2 has 390513 (97.2%) missing values Missing
RSNMRJN1 has 390525 (97.2%) missing values Missing
LCSFIRST has 387914 (96.5%) missing values Missing
LCSLAST has 388332 (96.6%) missing values Missing
LCSNUMCG has 388351 (96.6%) missing values Missing
LCSCTSCN has 370711 (92.2%) missing values Missing
CNCRDIFF has 378792 (94.2%) missing values Missing
CNCRAGE has 379265 (94.4%) missing values Missing
CNCRTYP1 has 379282 (94.4%) missing values Missing
CSRVTRT3 has 377950 (94.0%) missing values Missing
CSRVDOC1 has 388388 (96.6%) missing values Missing
CSRVSUM has 388401 (96.6%) missing values Missing
CSRVRTRN has 388422 (96.6%) missing values Missing
CSRVINST has 391979 (97.5%) missing values Missing
CSRVINSR has 388442 (96.6%) missing values Missing
CSRVDEIN has 388451 (96.6%) missing values Missing
CSRVCLIN has 388459 (96.6%) missing values Missing
CSRVPAIN has 379939 (94.5%) missing values Missing
CSRVCTL2 has 400105 (99.5%) missing values Missing
PCPSADE1 has 400117 (99.5%) missing values Missing
PCDMDEC1 has 401540 (99.9%) missing values Missing
HPVADVC4 has 386846 (96.2%) missing values Missing
HPVADSHT has 399179 (99.3%) missing values Missing
TETANUS1 has 394003 (98.0%) missing values Missing
IMFVPLA1 has 394375 (98.1%) missing values Missing
BIRTHSEX has 300719 (74.8%) missing values Missing
SOMALE has 291919 (72.6%) missing values Missing
SOFEMALE has 271880 (67.6%) missing values Missing
TRNSGNDR has 161936 (40.3%) missing values Missing
ACEDEPRS has 272572 (67.8%) missing values Missing
ACEDRINK has 272753 (67.9%) missing values Missing
ACEDRUGS has 272819 (67.9%) missing values Missing
ACEPRISN has 272878 (67.9%) missing values Missing
ACEDIVRC has 272915 (67.9%) missing values Missing
ACEPUNCH has 272990 (67.9%) missing values Missing
ACEHURT1 has 273103 (67.9%) missing values Missing
ACESWEAR has 273191 (68.0%) missing values Missing
ACETOUCH has 273271 (68.0%) missing values Missing
ACETTHEM has 273360 (68.0%) missing values Missing
ACEHVSEX has 273459 (68.0%) missing values Missing
RCSGENDR has 346998 (86.3%) missing values Missing
RCSRLTN2 has 347440 (86.4%) missing values Missing
CASTHDX2 has 352527 (87.7%) missing values Missing
CASTHNO2 has 396463 (98.6%) missing values Missing
X_METSTAT has 7127 (1.8%) missing values Missing
X_URBSTAT has 7127 (1.8%) missing values Missing
MSCODE has 279833 (69.6%) missing values Missing
X_CHISPNC has 125339 (31.2%) missing values Missing
X_CRACE1 has 345583 (86.0%) missing values Missing
X_CPRACE has 345583 (86.0%) missing values Missing
X_CLLCPWT has 347004 (86.3%) missing values Missing
X_DUALCOR has 224237 (55.8%) missing values Missing
X_ALTETH3 has 256096 (63.7%) missing values Missing
HTIN4 has 23808 (5.9%) missing values Missing
HTM4 has 21731 (5.4%) missing values Missing
WTKG3 has 34948 (8.7%) missing values Missing
X_BMI5 has 41357 (10.3%) missing values Missing
X_BMI5CAT has 41357 (10.3%) missing values Missing
X_FLSHOT7 has 256096 (63.7%) missing values Missing
X_PNEUMO3 has 256096 (63.7%) missing values Missing
X_RFMAM22 has 235983 (58.7%) missing values Missing
X_MAM5023 has 306666 (76.3%) missing values Missing
X_RFPAP35 has 304555 (75.8%) missing values Missing
X_RFPSA23 has 275354 (68.5%) missing values Missing
X_CLNSCPY has 224036 (55.7%) missing values Missing
X_SGMSCPY has 230472 (57.3%) missing values Missing
X_SGMS10Y has 230472 (57.3%) missing values Missing
X_RFBLDS4 has 226105 (56.3%) missing values Missing
X_STOLDNA has 225601 (56.1%) missing values Missing
X_VIRCOLN has 227684 (56.6%) missing values Missing
X_SBONTIM has 207741 (51.7%) missing values Missing
X_CRCREC1 has 226260 (56.3%) missing values Missing
X_AIDTST4 has 34037 (8.5%) missing values Missing
PVTRESD1 is highly skewed (γ1 = 73.62803183) Skewed
Unnamed: 0 has unique values Unique
TOLDCFS is an unsupported type, check if it needs cleaning or further analysis Unsupported
HAVECFS is an unsupported type, check if it needs cleaning or further analysis Unsupported
WORKCFS is an unsupported type, check if it needs cleaning or further analysis Unsupported
NUMMEN has 31022 (7.7%) zeros Zeros
NUMWOMEN has 13886 (3.5%) zeros Zeros
DROCDY3_ has 183618 (45.7%) zeros Zeros
X_DRNKWK1 has 184681 (45.9%) zeros Zeros

Reproduction

Analysis started2022-02-18 22:51:02.690085
Analysis finished2022-02-18 22:51:17.289945
Duration14.6 seconds
Software versionpandas-profiling v3.1.0
Download configurationconfig.json

Variables

Unnamed: 0
Real number (ℝ≥0)

UNIQUE

Distinct401958
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean200979.5
Minimum1
Maximum401958
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:17.491487image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20098.85
Q1100490.25
median200979.5
Q3301468.75
95-th percentile381860.15
Maximum401958
Range401957
Interquartile range (IQR)200978.5

Descriptive statistics

Standard deviation116035.4241
Coefficient of variation (CV)0.577349551
Kurtosis-1.2
Mean200979.5
Median Absolute Deviation (MAD)100489.5
Skewness-9.351562096 × 10-16
Sum8.078531786 × 1010
Variance1.346421964 × 1010
MonotonicityStrictly increasing
2022-02-18T23:51:17.828494image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11
 
< 0.1%
2679801
 
< 0.1%
2679781
 
< 0.1%
2679771
 
< 0.1%
2679761
 
< 0.1%
2679751
 
< 0.1%
2679741
 
< 0.1%
2679731
 
< 0.1%
2679721
 
< 0.1%
2679711
 
< 0.1%
Other values (401948)401948
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
21
< 0.1%
31
< 0.1%
41
< 0.1%
51
< 0.1%
ValueCountFrequency (%)
4019581
< 0.1%
4019571
< 0.1%
4019561
< 0.1%
4019551
< 0.1%
4019541
< 0.1%

X_STATE
Real number (ℝ≥0)

Distinct53
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.01035929
Minimum1
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:18.143836image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q118
median29
Q341
95-th percentile54
Maximum72
Range71
Interquartile range (IQR)23

Descriptive statistics

Standard deviation15.77347349
Coefficient of variation (CV)0.5256009547
Kurtosis-0.637796373
Mean30.01035929
Median Absolute Deviation (MAD)11
Skewness0.1681478165
Sum12062904
Variance248.8024661
MonotonicityIncreasing
2022-02-18T23:51:18.354235image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2715835
 
3.9%
3114796
 
3.7%
3614769
 
3.7%
3914676
 
3.7%
2414292
 
3.6%
5312902
 
3.2%
1211799
 
2.9%
3411382
 
2.8%
4811042
 
2.7%
2311015
 
2.7%
Other values (43)269450
67.0%
ValueCountFrequency (%)
15341
1.3%
23675
 
0.9%
410291
2.6%
55244
1.3%
64798
1.2%
ValueCountFrequency (%)
724944
1.2%
662183
 
0.5%
564802
1.2%
555099
1.3%
545880
1.5%

FMONTH
Real number (ℝ≥0)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.959192254
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:18.542126image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.524223812
Coefficient of variation (CV)0.5913928703
Kurtosis-1.281194358
Mean5.959192254
Median Absolute Deviation (MAD)3
Skewness0.1972118808
Sum2395345
Variance12.42015348
MonotonicityNot monotonic
2022-02-18T23:51:18.690053image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
346799
11.6%
443310
10.8%
143083
10.7%
241761
10.4%
933323
8.3%
1132216
8.0%
830630
7.6%
729841
7.4%
1027472
6.8%
1225885
6.4%
Other values (2)47638
11.9%
ValueCountFrequency (%)
143083
10.7%
241761
10.4%
346799
11.6%
443310
10.8%
524275
6.0%
ValueCountFrequency (%)
1225885
6.4%
1132216
8.0%
1027472
6.8%
933323
8.3%
830630
7.6%

IDATE
Real number (ℝ≥0)

Distinct439
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6662701.047
Minimum1012021
Maximum12312020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:18.890386image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1012021
5-th percentile1232020
Q13262020
median6252020
Q310052020
95-th percentile12102020
Maximum12312020
Range11299999
Interquartile range (IQR)6790000

Descriptive statistics

Standard deviation3462450.181
Coefficient of variation (CV)0.5196766532
Kurtosis-1.268195381
Mean6662701.047
Median Absolute Deviation (MAD)3040000
Skewness0.05444553409
Sum2.678125987 × 1012
Variance1.198856126 × 1013
MonotonicityNot monotonic
2022-02-18T23:51:19.108127image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31720202032
 
0.5%
31220202018
 
0.5%
31120202005
 
0.5%
31620202001
 
0.5%
31820201976
 
0.5%
111720201911
 
0.5%
120320201900
 
0.5%
30320201835
 
0.5%
120920201827
 
0.5%
111220201824
 
0.5%
Other values (429)382629
95.2%
ValueCountFrequency (%)
1012021137
 
< 0.1%
102202054
 
< 0.1%
1022021512
0.1%
103202037
 
< 0.1%
1032021376
0.1%
ValueCountFrequency (%)
12312020281
 
0.1%
12302020761
0.2%
12292020802
0.2%
12282020752
0.2%
12272020468
0.1%

IMONTH
Real number (ℝ≥0)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.51060061
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:19.307822image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q310
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.466900046
Coefficient of variation (CV)0.532500802
Kurtosis-1.263340022
Mean6.51060061
Median Absolute Deviation (MAD)3
Skewness0.05476654018
Sum2616988
Variance12.01939593
MonotonicityNot monotonic
2022-02-18T23:51:19.458543image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
343825
10.9%
1138044
9.5%
435032
8.7%
1235026
8.7%
534240
8.5%
232376
8.1%
1032311
8.0%
832136
8.0%
631241
7.8%
730911
7.7%
Other values (2)56816
14.1%
ValueCountFrequency (%)
128091
7.0%
232376
8.1%
343825
10.9%
435032
8.7%
534240
8.5%
ValueCountFrequency (%)
1235026
8.7%
1138044
9.5%
1032311
8.0%
928725
7.1%
832136
8.0%

IDAY
Real number (ℝ≥0)

Distinct31
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.00804064
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:19.627474image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median15
Q322
95-th percentile29
Maximum31
Range30
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.428138498
Coefficient of variation (CV)0.5615748717
Kurtosis-1.072256517
Mean15.00804064
Median Absolute Deviation (MAD)7
Skewness0.1124754378
Sum6032602
Variance71.03351854
MonotonicityNot monotonic
2022-02-18T23:51:19.844070image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1415542
 
3.9%
1615469
 
3.8%
1715173
 
3.8%
1515117
 
3.8%
1115003
 
3.7%
914908
 
3.7%
1814601
 
3.6%
1314520
 
3.6%
1014385
 
3.6%
1214255
 
3.5%
Other values (21)252985
62.9%
ValueCountFrequency (%)
112348
3.1%
213337
3.3%
313484
3.4%
413555
3.4%
514115
3.5%
ValueCountFrequency (%)
315050
1.3%
3010183
2.5%
2910502
2.6%
2811285
2.8%
2710480
2.6%

IYEAR
Real number (ℝ≥0)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2020.030182
Minimum2020
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:20.032762image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum2020
5-th percentile2020
Q12020
median2020
Q32020
95-th percentile2020
Maximum2021
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1710887547
Coefficient of variation (CV)8.469613781 × 10-5
Kurtosis28.16353431
Mean2020.030182
Median Absolute Deviation (MAD)0
Skewness5.4921211
Sum811967292
Variance0.02927136198
MonotonicityNot monotonic
2022-02-18T23:51:20.187599image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2020389826
97.0%
202112132
 
3.0%
ValueCountFrequency (%)
2020389826
97.0%
202112132
 
3.0%
ValueCountFrequency (%)
202112132
 
3.0%
2020389826
97.0%

DISPCODE
Real number (ℝ≥0)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1117.747874
Minimum1100
Maximum1200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:20.380273image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1100
5-th percentile1100
Q11100
median1100
Q31100
95-th percentile1200
Maximum1200
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation38.20738162
Coefficient of variation (CV)0.03418246861
Kurtosis0.8502771866
Mean1117.747874
Median Absolute Deviation (MAD)0
Skewness1.688275142
Sum449287700
Variance1459.80401
MonotonicityNot monotonic
2022-02-18T23:51:20.509343image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1100330619
82.3%
120071339
 
17.7%
ValueCountFrequency (%)
1100330619
82.3%
120071339
 
17.7%
ValueCountFrequency (%)
120071339
 
17.7%
1100330619
82.3%

SEQNO
Real number (ℝ≥0)

Distinct15835
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2020004592
Minimum2020000001
Maximum2020015835
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:20.707243image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum2020000001
5-th percentile2020000380
Q12020001897
median2020003866
Q32020006603
95-th percentile2020011295
Maximum2020015835
Range15834
Interquartile range (IQR)4706

Descriptive statistics

Standard deviation3396.684116
Coefficient of variation (CV)1.681522968 × 10-6
Kurtosis0.1247370361
Mean2020004592
Median Absolute Deviation (MAD)2233
Skewness0.8600785139
Sum8.119570059 × 1014
Variance11537462.99
MonotonicityNot monotonic
2022-02-18T23:51:20.956921image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202000000153
 
< 0.1%
202000145953
 
< 0.1%
202000145353
 
< 0.1%
202000145453
 
< 0.1%
202000145553
 
< 0.1%
202000145653
 
< 0.1%
202000145753
 
< 0.1%
202000145853
 
< 0.1%
202000146053
 
< 0.1%
202000150253
 
< 0.1%
Other values (15825)401428
99.9%
ValueCountFrequency (%)
202000000153
< 0.1%
202000000253
< 0.1%
202000000353
< 0.1%
202000000453
< 0.1%
202000000553
< 0.1%
ValueCountFrequency (%)
20200158351
< 0.1%
20200158341
< 0.1%
20200158331
< 0.1%
20200158321
< 0.1%
20200158311
< 0.1%

X_PSU
Real number (ℝ≥0)

Distinct15835
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2020004592
Minimum2020000001
Maximum2020015835
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:21.230861image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum2020000001
5-th percentile2020000380
Q12020001897
median2020003866
Q32020006603
95-th percentile2020011295
Maximum2020015835
Range15834
Interquartile range (IQR)4706

Descriptive statistics

Standard deviation3396.684116
Coefficient of variation (CV)1.681522968 × 10-6
Kurtosis0.1247370361
Mean2020004592
Median Absolute Deviation (MAD)2233
Skewness0.8600785139
Sum8.119570059 × 1014
Variance11537462.99
MonotonicityNot monotonic
2022-02-18T23:51:21.600272image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202000000153
 
< 0.1%
202000145953
 
< 0.1%
202000145353
 
< 0.1%
202000145453
 
< 0.1%
202000145553
 
< 0.1%
202000145653
 
< 0.1%
202000145753
 
< 0.1%
202000145853
 
< 0.1%
202000146053
 
< 0.1%
202000150253
 
< 0.1%
Other values (15825)401428
99.9%
ValueCountFrequency (%)
202000000153
< 0.1%
202000000253
< 0.1%
202000000353
< 0.1%
202000000453
< 0.1%
202000000553
< 0.1%
ValueCountFrequency (%)
20200158351
< 0.1%
20200158341
< 0.1%
20200158331
< 0.1%
20200158321
< 0.1%
20200158311
< 0.1%

CTELENM1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing277207
Missing (%)69.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:21.967525image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum124751
Variance0
MonotonicityIncreasing
2022-02-18T23:51:22.197717image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1124751
31.0%
(Missing)277207
69.0%
ValueCountFrequency (%)
1124751
31.0%
ValueCountFrequency (%)
1124751
31.0%

PVTRESD1
Real number (ℝ≥0)

MISSING
SKEWED

Distinct2
Distinct (%)< 0.1%
Missing277207
Missing (%)69.0%
Infinite0
Infinite (%)0.0%
Mean1.000184367
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:22.457533image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01357699326
Coefficient of variation (CV)0.01357449057
Kurtosis5419.173951
Mean1.000184367
Median Absolute Deviation (MAD)0
Skewness73.62803183
Sum124774
Variance0.0001843347459
MonotonicityNot monotonic
2022-02-18T23:51:22.730004image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1124728
31.0%
223
 
< 0.1%
(Missing)277207
69.0%
ValueCountFrequency (%)
1124728
31.0%
223
 
< 0.1%
ValueCountFrequency (%)
223
 
< 0.1%
1124728
31.0%

COLGHOUS
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)4.3%
Missing401935
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:22.885379image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum23
Variance0
MonotonicityIncreasing
2022-02-18T23:51:23.022225image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
123
 
< 0.1%
(Missing)401935
> 99.9%
ValueCountFrequency (%)
123
< 0.1%
ValueCountFrequency (%)
123
< 0.1%

STATERE1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing277207
Missing (%)69.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:23.156219image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum124751
Variance0
MonotonicityIncreasing
2022-02-18T23:51:23.297281image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1124751
31.0%
(Missing)277207
69.0%
ValueCountFrequency (%)
1124751
31.0%
ValueCountFrequency (%)
1124751
31.0%

CELPHONE
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing277207
Missing (%)69.0%
Infinite0
Infinite (%)0.0%
Mean2
Minimum2
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:23.470017image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean2
Median Absolute Deviation (MAD)0
Skewness0
Sum249502
Variance0
MonotonicityIncreasing
2022-02-18T23:51:23.664239image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
2124751
31.0%
(Missing)277207
69.0%
ValueCountFrequency (%)
2124751
31.0%
ValueCountFrequency (%)
2124751
31.0%

LADULT1
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)< 0.1%
Missing277207
Missing (%)69.0%
Infinite0
Infinite (%)0.0%
Mean1.008561054
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:23.826884image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09212941994
Coefficient of variation (CV)0.09134739003
Kurtosis111.8212172
Mean1.008561054
Median Absolute Deviation (MAD)0
Skewness10.66861868
Sum125819
Variance0.008487830018
MonotonicityNot monotonic
2022-02-18T23:51:23.976114image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1123683
30.8%
21068
 
0.3%
(Missing)277207
69.0%
ValueCountFrequency (%)
1123683
30.8%
21068
 
0.3%
ValueCountFrequency (%)
21068
 
0.3%
1123683
30.8%

COLGSEX
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)8.7%
Missing401935
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1.695652174
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:24.132635image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4704719689
Coefficient of variation (CV)0.2774578278
Kurtosis-1.290816327
Mean1.695652174
Median Absolute Deviation (MAD)0
Skewness-0.9109393479
Sum39
Variance0.2213438735
MonotonicityNot monotonic
2022-02-18T23:51:24.309105image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
216
 
< 0.1%
17
 
< 0.1%
(Missing)401935
> 99.9%
ValueCountFrequency (%)
17
< 0.1%
216
< 0.1%
ValueCountFrequency (%)
216
< 0.1%
17
< 0.1%

NUMADULT
Real number (ℝ≥0)

MISSING

Distinct15
Distinct (%)< 0.1%
Missing277216
Missing (%)69.0%
Infinite0
Infinite (%)0.0%
Mean1.752120376
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:24.509891image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum18
Range17
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8162886396
Coefficient of variation (CV)0.4658861632
Kurtosis16.69797852
Mean1.752120376
Median Absolute Deviation (MAD)1
Skewness2.109569828
Sum218563
Variance0.6663271431
MonotonicityNot monotonic
2022-02-18T23:51:24.710794image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
258784
 
14.6%
151455
 
12.8%
310154
 
2.5%
43275
 
0.8%
5766
 
0.2%
6201
 
0.1%
752
 
< 0.1%
824
 
< 0.1%
99
 
< 0.1%
188
 
< 0.1%
Other values (5)14
 
< 0.1%
(Missing)277216
69.0%
ValueCountFrequency (%)
151455
12.8%
258784
14.6%
310154
 
2.5%
43275
 
0.8%
5766
 
0.2%
ValueCountFrequency (%)
188
< 0.1%
152
 
< 0.1%
141
 
< 0.1%
123
 
< 0.1%
111
 
< 0.1%

LANDSEX
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing350509
Missing (%)87.2%
Infinite0
Infinite (%)0.0%
Mean1.68675776
Minimum0
Maximum9
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:24.957741image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4673649833
Coefficient of variation (CV)0.2770788992
Kurtosis2.100325526
Mean1.68675776
Median Absolute Deviation (MAD)0
Skewness-0.5659307891
Sum86782
Variance0.2184300276
MonotonicityNot monotonic
2022-02-18T23:51:25.145082image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
235310
 
8.8%
116135
 
4.0%
93
 
< 0.1%
01
 
< 0.1%
(Missing)350509
87.2%
ValueCountFrequency (%)
01
 
< 0.1%
116135
4.0%
235310
8.8%
93
 
< 0.1%
ValueCountFrequency (%)
93
 
< 0.1%
235310
8.8%
116135
4.0%
01
 
< 0.1%

NUMMEN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct10
Distinct (%)< 0.1%
Missing291536
Missing (%)72.5%
Infinite0
Infinite (%)0.0%
Mean0.822082556
Minimum0
Maximum18
Zeros31022
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:25.380110image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum18
Range18
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6283485849
Coefficient of variation (CV)0.7643375721
Kurtosis7.994877013
Mean0.822082556
Median Absolute Deviation (MAD)0
Skewness0.9290450855
Sum90776
Variance0.3948219442
MonotonicityNot monotonic
2022-02-18T23:51:25.569601image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
169875
 
17.4%
031022
 
7.7%
27974
 
2.0%
31327
 
0.3%
4181
 
< 0.1%
529
 
< 0.1%
68
 
< 0.1%
73
 
< 0.1%
82
 
< 0.1%
181
 
< 0.1%
(Missing)291536
72.5%
ValueCountFrequency (%)
031022
7.7%
169875
17.4%
27974
 
2.0%
31327
 
0.3%
4181
 
< 0.1%
ValueCountFrequency (%)
181
 
< 0.1%
82
 
< 0.1%
73
 
< 0.1%
68
 
< 0.1%
529
< 0.1%

NUMWOMEN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct14
Distinct (%)< 0.1%
Missing291536
Missing (%)72.5%
Infinite0
Infinite (%)0.0%
Mean0.9933165492
Minimum0
Maximum18
Zeros13886
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:25.794625image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum18
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5483733574
Coefficient of variation (CV)0.5520630435
Kurtosis45.94196506
Mean0.9933165492
Median Absolute Deviation (MAD)0
Skewness2.359993245
Sum109684
Variance0.3007133391
MonotonicityNot monotonic
2022-02-18T23:51:26.016662image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
185376
 
21.2%
013886
 
3.5%
29577
 
2.4%
31340
 
0.3%
4183
 
< 0.1%
541
 
< 0.1%
67
 
< 0.1%
173
 
< 0.1%
162
 
< 0.1%
72
 
< 0.1%
Other values (4)5
 
< 0.1%
(Missing)291536
72.5%
ValueCountFrequency (%)
013886
 
3.5%
185376
21.2%
29577
 
2.4%
31340
 
0.3%
4183
 
< 0.1%
ValueCountFrequency (%)
181
 
< 0.1%
173
< 0.1%
162
< 0.1%
112
< 0.1%
101
 
< 0.1%

RESPSLCT
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)< 0.1%
Missing354532
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean1.534833214
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:26.223905image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4987904301
Coefficient of variation (CV)0.3249802164
Kurtosis-1.980573964
Mean1.534833214
Median Absolute Deviation (MAD)0
Skewness-0.1396766287
Sum72791
Variance0.2487918931
MonotonicityNot monotonic
2022-02-18T23:51:26.446084image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
225365
 
6.3%
122061
 
5.5%
(Missing)354532
88.2%
ValueCountFrequency (%)
122061
5.5%
225365
6.3%
ValueCountFrequency (%)
225365
6.3%
122061
5.5%

SAFETIME
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing124751
Missing (%)31.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:26.618472image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum277207
Variance0
MonotonicityIncreasing
2022-02-18T23:51:26.746857image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1277207
69.0%
(Missing)124751
31.0%
ValueCountFrequency (%)
1277207
69.0%
ValueCountFrequency (%)
1277207
69.0%

CTELNUM1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing124751
Missing (%)31.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:26.885591image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum277207
Variance0
MonotonicityIncreasing
2022-02-18T23:51:27.011426image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1277207
69.0%
(Missing)124751
31.0%
ValueCountFrequency (%)
1277207
69.0%
ValueCountFrequency (%)
1277207
69.0%

CELLFON5
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing124751
Missing (%)31.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:27.150437image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum277207
Variance0
MonotonicityIncreasing
2022-02-18T23:51:27.279990image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1277207
69.0%
(Missing)124751
31.0%
ValueCountFrequency (%)
1277207
69.0%
ValueCountFrequency (%)
1277207
69.0%

CADULT1
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing124755
Missing (%)31.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:27.446972image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum277203
Variance0
MonotonicityIncreasing
2022-02-18T23:51:27.568028image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1277203
69.0%
(Missing)124755
31.0%
ValueCountFrequency (%)
1277203
69.0%
ValueCountFrequency (%)
1277203
69.0%

CELLSEX
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)< 0.1%
Missing124771
Missing (%)31.0%
Infinite0
Infinite (%)0.0%
Mean1.50588231
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:27.677918image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4999662991
Coefficient of variation (CV)0.3320088798
Kurtosis-1.999460719
Mean1.50588231
Median Absolute Deviation (MAD)0
Skewness-0.0235309978
Sum417411
Variance0.2499663002
MonotonicityNot monotonic
2022-02-18T23:51:27.807369image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2140224
34.9%
1136963
34.1%
(Missing)124771
31.0%
ValueCountFrequency (%)
1136963
34.1%
2140224
34.9%
ValueCountFrequency (%)
2140224
34.9%
1136963
34.1%

PVTRESD3
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)< 0.1%
Missing124752
Missing (%)31.0%
Infinite0
Infinite (%)0.0%
Mean1.003535277
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:27.943511image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05935310892
Coefficient of variation (CV)0.05914401843
Kurtosis277.8718468
Mean1.003535277
Median Absolute Deviation (MAD)0
Skewness16.72931086
Sum278186
Variance0.003522791539
MonotonicityNot monotonic
2022-02-18T23:51:28.113317image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1276226
68.7%
2980
 
0.2%
(Missing)124752
31.0%
ValueCountFrequency (%)
1276226
68.7%
2980
 
0.2%
ValueCountFrequency (%)
2980
 
0.2%
1276226
68.7%

CCLGHOUS
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing400979
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:28.242569image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum979
Variance0
MonotonicityIncreasing
2022-02-18T23:51:28.410781image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1979
 
0.2%
(Missing)400979
99.8%
ValueCountFrequency (%)
1979
0.2%
ValueCountFrequency (%)
1979
0.2%

CSTATE1
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)< 0.1%
Missing124758
Missing (%)31.0%
Infinite0
Infinite (%)0.0%
Mean1.071338384
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:28.531287image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2573897003
Coefficient of variation (CV)0.2402506101
Kurtosis9.094703296
Mean1.071338384
Median Absolute Deviation (MAD)0
Skewness3.330861402
Sum296975
Variance0.06624945782
MonotonicityNot monotonic
2022-02-18T23:51:28.644979image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1257425
64.0%
219775
 
4.9%
(Missing)124758
31.0%
ValueCountFrequency (%)
1257425
64.0%
219775
 
4.9%
ValueCountFrequency (%)
219775
 
4.9%
1257425
64.0%

LANDLINE
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing124752
Missing (%)31.0%
Infinite0
Infinite (%)0.0%
Mean1.765751824
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:29.997170image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5770766177
Coefficient of variation (CV)0.3268163793
Kurtosis55.10424443
Mean1.765751824
Median Absolute Deviation (MAD)0
Skewness4.356917242
Sum489477
Variance0.3330174227
MonotonicityNot monotonic
2022-02-18T23:51:30.215210image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2205417
51.1%
170820
 
17.6%
9520
 
0.1%
7449
 
0.1%
(Missing)124752
31.0%
ValueCountFrequency (%)
170820
 
17.6%
2205417
51.1%
7449
 
0.1%
9520
 
0.1%
ValueCountFrequency (%)
9520
 
0.1%
7449
 
0.1%
2205417
51.1%
170820
 
17.6%

HHADULT
Real number (ℝ≥0)

MISSING

Distinct33
Distinct (%)< 0.1%
Missing124753
Missing (%)31.0%
Infinite0
Infinite (%)0.0%
Mean2.804974658
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:30.485336image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.606418435
Coefficient of variation (CV)2.711760127
Kurtosis142.4566547
Mean2.804974658
Median Absolute Deviation (MAD)1
Skewness11.85064166
Sum777553
Variance57.85760141
MonotonicityNot monotonic
2022-02-18T23:51:30.751057image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
2137783
34.3%
165688
16.3%
342526
 
10.6%
419846
 
4.9%
56273
 
1.6%
61905
 
0.5%
991416
 
0.4%
7648
 
0.2%
77452
 
0.1%
8262
 
0.1%
Other values (23)406
 
0.1%
(Missing)124753
31.0%
ValueCountFrequency (%)
165688
16.3%
2137783
34.3%
342526
 
10.6%
419846
 
4.9%
56273
 
1.6%
ValueCountFrequency (%)
991416
0.4%
77452
 
0.1%
541
 
< 0.1%
531
 
< 0.1%
431
 
< 0.1%

SEXVAR
Real number (ℝ≥0)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.542385025
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:31.032918image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4982008903
Coefficient of variation (CV)0.3230068252
Kurtosis-1.971057698
Mean1.542385025
Median Absolute Deviation (MAD)0
Skewness-0.1701531933
Sum619974
Variance0.2482041271
MonotonicityNot monotonic
2022-02-18T23:51:31.274119image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2218016
54.2%
1183942
45.8%
ValueCountFrequency (%)
1183942
45.8%
2218016
54.2%
ValueCountFrequency (%)
2218016
54.2%
1183942
45.8%

GENHLTH
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing8
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.452946884
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:31.499039image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.085778384
Coefficient of variation (CV)0.442642436
Kurtosis0.8135901743
Mean2.452946884
Median Absolute Deviation (MAD)1
Skewness0.6394744512
Sum985962
Variance1.178914699
MonotonicityNot monotonic
2022-02-18T23:51:31.742273image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2138139
34.4%
3119502
29.7%
181660
20.3%
446239
 
11.5%
515457
 
3.8%
7650
 
0.2%
9303
 
0.1%
(Missing)8
 
< 0.1%
ValueCountFrequency (%)
181660
20.3%
2138139
34.4%
3119502
29.7%
446239
 
11.5%
515457
 
3.8%
ValueCountFrequency (%)
9303
 
0.1%
7650
 
0.2%
515457
 
3.8%
446239
 
11.5%
3119502
29.7%

PHYSHLTH
Real number (ℝ≥0)

Distinct33
Distinct (%)< 0.1%
Missing5
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean66.14362873
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:31.993362image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q130
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)58

Descriptive statistics

Standard deviation34.82712061
Coefficient of variation (CV)0.5265377977
Kurtosis-0.8172374994
Mean66.14362873
Median Absolute Deviation (MAD)0
Skewness-1.034014363
Sum26586630
Variance1212.92833
MonotonicityNot monotonic
2022-02-18T23:51:32.234333image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
88278671
69.3%
3025049
 
6.2%
217864
 
4.4%
112492
 
3.1%
310371
 
2.6%
59192
 
2.3%
777095
 
1.8%
106707
 
1.7%
156247
 
1.6%
75692
 
1.4%
Other values (23)22573
 
5.6%
ValueCountFrequency (%)
112492
3.1%
217864
4.4%
310371
2.6%
45396
 
1.3%
59192
2.3%
ValueCountFrequency (%)
991591
 
0.4%
88278671
69.3%
777095
 
1.8%
3025049
 
6.2%
29265
 
0.1%

MENTHLTH
Real number (ℝ≥0)

Distinct33
Distinct (%)< 0.1%
Missing5
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean61.45373962
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:32.478287image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q115
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)73

Descriptive statistics

Standard deviation36.95114297
Coefficient of variation (CV)0.6012838796
Kurtosis-1.382536442
Mean61.45373962
Median Absolute Deviation (MAD)0
Skewness-0.7258386835
Sum24701515
Variance1365.386967
MonotonicityNot monotonic
2022-02-18T23:51:32.713293image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
88255707
63.6%
3022297
 
5.5%
219591
 
4.9%
516705
 
4.2%
1012656
 
3.1%
312500
 
3.1%
1512006
 
3.0%
111144
 
2.8%
206544
 
1.6%
76524
 
1.6%
Other values (23)26279
 
6.5%
ValueCountFrequency (%)
111144
2.8%
219591
4.9%
312500
3.1%
46344
 
1.6%
516705
4.2%
ValueCountFrequency (%)
992091
 
0.5%
88255707
63.6%
775833
 
1.5%
3022297
 
5.5%
29400
 
0.1%

POORHLTH
Real number (ℝ≥0)

MISSING

Distinct33
Distinct (%)< 0.1%
Missing200343
Missing (%)49.8%
Infinite0
Infinite (%)0.0%
Mean55.68052476
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:32.929732image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q110
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)78

Descriptive statistics

Standard deviation38.1512881
Coefficient of variation (CV)0.6851819063
Kurtosis-1.73862233
Mean55.68052476
Median Absolute Deviation (MAD)0
Skewness-0.3983781705
Sum11226029
Variance1455.520784
MonotonicityNot monotonic
2022-02-18T23:51:33.131270image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
88111321
27.7%
3015239
 
3.8%
210626
 
2.6%
58550
 
2.1%
18011
 
2.0%
157308
 
1.8%
36945
 
1.7%
106854
 
1.7%
74259
 
1.1%
204226
 
1.1%
Other values (23)18276
 
4.5%
(Missing)200343
49.8%
ValueCountFrequency (%)
18011
2.0%
210626
2.6%
36945
1.7%
43888
 
1.0%
58550
2.1%
ValueCountFrequency (%)
991089
 
0.3%
88111321
27.7%
774178
 
1.0%
3015239
 
3.8%
29137
 
< 0.1%

HLTHPLN1
Real number (ℝ≥0)

Distinct4
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.119809431
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:33.401137image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5624722672
Coefficient of variation (CV)0.5022928468
Kurtosis117.219683
Mean1.119809431
Median Absolute Deviation (MAD)0
Skewness9.707199192
Sum450113
Variance0.3163750514
MonotonicityNot monotonic
2022-02-18T23:51:33.545512image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1365862
91.0%
234034
 
8.5%
71174
 
0.3%
9885
 
0.2%
(Missing)3
 
< 0.1%
ValueCountFrequency (%)
1365862
91.0%
234034
 
8.5%
71174
 
0.3%
9885
 
0.2%
ValueCountFrequency (%)
9885
 
0.2%
71174
 
0.3%
234034
 
8.5%
1365862
91.0%

PERSDOC2
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.449547835
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:33.691236image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8873374341
Coefficient of variation (CV)0.612147742
Kurtosis12.0816495
Mean1.449547835
Median Absolute Deviation (MAD)0
Skewness2.652347908
Sum582653
Variance0.787367722
MonotonicityNot monotonic
2022-02-18T23:51:33.812134image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1302667
75.3%
369995
 
17.4%
227254
 
6.8%
71429
 
0.4%
9610
 
0.2%
(Missing)3
 
< 0.1%
ValueCountFrequency (%)
1302667
75.3%
227254
 
6.8%
369995
 
17.4%
71429
 
0.4%
9610
 
0.2%
ValueCountFrequency (%)
9610
 
0.2%
71429
 
0.4%
369995
 
17.4%
227254
 
6.8%
1302667
75.3%

MEDCOST
Real number (ℝ≥0)

Distinct4
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.929243323
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:33.953069image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4063005133
Coefficient of variation (CV)0.210600969
Kurtosis105.790746
Mean1.929243323
Median Absolute Deviation (MAD)0
Skewness6.335455987
Sum775469
Variance0.1650801071
MonotonicityNot monotonic
2022-02-18T23:51:34.104819image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2366252
91.1%
134568
 
8.6%
7909
 
0.2%
9226
 
0.1%
(Missing)3
 
< 0.1%
ValueCountFrequency (%)
134568
 
8.6%
2366252
91.1%
7909
 
0.2%
9226
 
0.1%
ValueCountFrequency (%)
9226
 
0.1%
7909
 
0.2%
2366252
91.1%
134568
 
8.6%

CHECKUP1
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing5
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.461877384
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:34.252474image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.116165564
Coefficient of variation (CV)0.7635151734
Kurtosis14.17511279
Mean1.461877384
Median Absolute Deviation (MAD)0
Skewness3.445038535
Sum587606
Variance1.245825566
MonotonicityNot monotonic
2022-02-18T23:51:34.380534image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1311146
77.4%
245429
 
11.3%
320448
 
5.1%
417828
 
4.4%
74445
 
1.1%
82082
 
0.5%
9575
 
0.1%
(Missing)5
 
< 0.1%
ValueCountFrequency (%)
1311146
77.4%
245429
 
11.3%
320448
 
5.1%
417828
 
4.4%
74445
 
1.1%
ValueCountFrequency (%)
9575
 
0.1%
82082
 
0.5%
74445
 
1.1%
417828
4.4%
320448
5.1%

EXERANY2
Real number (ℝ≥0)

Distinct4
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.248592504
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:34.547435image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5022152255
Coefficient of variation (CV)0.4022250845
Kurtosis49.72485551
Mean1.248592504
Median Absolute Deviation (MAD)0
Skewness4.473403873
Sum501878
Variance0.2522201327
MonotonicityNot monotonic
2022-02-18T23:51:34.683455image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1305883
76.1%
295393
 
23.7%
7451
 
0.1%
9228
 
0.1%
(Missing)3
 
< 0.1%
ValueCountFrequency (%)
1305883
76.1%
295393
 
23.7%
7451
 
0.1%
9228
 
0.1%
ValueCountFrequency (%)
9228
 
0.1%
7451
 
0.1%
295393
 
23.7%
1305883
76.1%

SLEPTIM1
Real number (ℝ≥0)

Distinct26
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean7.94469779
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:34.866901image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q16
median7
Q38
95-th percentile9
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation7.973948962
Coefficient of variation (CV)1.003681848
Kurtosis79.10382717
Mean7.94469779
Median Absolute Deviation (MAD)1
Skewness8.786135023
Sum3193411
Variance63.58386205
MonotonicityNot monotonic
2022-02-18T23:51:35.069366image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
8122257
30.4%
7118786
29.6%
682622
20.6%
524431
 
6.1%
919836
 
4.9%
49985
 
2.5%
109982
 
2.5%
774110
 
1.0%
122865
 
0.7%
32680
 
0.7%
Other values (16)4401
 
1.1%
ValueCountFrequency (%)
1762
 
0.2%
21102
 
0.3%
32680
 
0.7%
49985
2.5%
524431
6.1%
ValueCountFrequency (%)
99581
 
0.1%
774110
1.0%
2453
 
< 0.1%
2310
 
< 0.1%
2213
 
< 0.1%

CVDINFR4
Real number (ℝ≥0)

Distinct4
Distinct (%)< 0.1%
Missing6
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.97278282
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:35.212260image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.449372528
Coefficient of variation (CV)0.2277861118
Kurtosis113.8378756
Mean1.97278282
Median Absolute Deviation (MAD)0
Skewness8.586568117
Sum792964
Variance0.2019356689
MonotonicityNot monotonic
2022-02-18T23:51:35.337305image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2377918
94.0%
121957
 
5.5%
71761
 
0.4%
9316
 
0.1%
(Missing)6
 
< 0.1%
ValueCountFrequency (%)
121957
 
5.5%
2377918
94.0%
71761
 
0.4%
9316
 
0.1%
ValueCountFrequency (%)
9316
 
0.1%
71761
 
0.4%
2377918
94.0%
121957
 
5.5%

CVDCRHD4
Real number (ℝ≥0)

Distinct4
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.986493513
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:35.524618image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5304194697
Coefficient of variation (CV)0.2670129382
Kurtosis82.11824297
Mean1.986493513
Median Absolute Deviation (MAD)0
Skewness7.799235144
Sum798481
Variance0.2813448138
MonotonicityNot monotonic
2022-02-18T23:51:35.754463image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2376058
93.6%
122598
 
5.6%
72962
 
0.7%
9337
 
0.1%
(Missing)3
 
< 0.1%
ValueCountFrequency (%)
122598
 
5.6%
2376058
93.6%
72962
 
0.7%
9337
 
0.1%
ValueCountFrequency (%)
9337
 
0.1%
72962
 
0.7%
2376058
93.6%
122598
 
5.6%

CVDSTRK3
Real number (ℝ≥0)

Distinct4
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.977166598
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:35.981294image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3598520693
Coefficient of variation (CV)0.182003919
Kurtosis188.6435055
Mean1.977166598
Median Absolute Deviation (MAD)0
Skewness10.6471105
Sum794732
Variance0.1294935118
MonotonicityNot monotonic
2022-02-18T23:51:36.193310image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2385095
95.8%
115677
 
3.9%
7891
 
0.2%
9292
 
0.1%
(Missing)3
 
< 0.1%
ValueCountFrequency (%)
115677
 
3.9%
2385095
95.8%
7891
 
0.2%
9292
 
0.1%
ValueCountFrequency (%)
9292
 
0.1%
7891
 
0.2%
2385095
95.8%
115677
 
3.9%

ASTHMA3
Real number (ℝ≥0)

Distinct4
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.883748181
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:36.410750image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4730237169
Coefficient of variation (CV)0.2511077233
Kurtosis72.82419582
Mean1.883748181
Median Absolute Deviation (MAD)0
Skewness5.009151554
Sum757182
Variance0.2237514367
MonotonicityNot monotonic
2022-02-18T23:51:36.610178image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2346449
86.2%
154142
 
13.5%
71067
 
0.3%
9297
 
0.1%
(Missing)3
 
< 0.1%
ValueCountFrequency (%)
154142
 
13.5%
2346449
86.2%
71067
 
0.3%
9297
 
0.1%
ValueCountFrequency (%)
9297
 
0.1%
71067
 
0.3%
2346449
86.2%
154142
 
13.5%

ASTHNOW
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing347817
Missing (%)86.5%
Infinite0
Infinite (%)0.0%
Mean1.443397795
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:36.920134image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.061376463
Coefficient of variation (CV)0.7353319137
Kurtosis19.78387543
Mean1.443397795
Median Absolute Deviation (MAD)0
Skewness4.252232675
Sum78147
Variance1.126519995
MonotonicityNot monotonic
2022-02-18T23:51:37.144509image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
137996
 
9.5%
214586
 
3.6%
71526
 
0.4%
933
 
< 0.1%
(Missing)347817
86.5%
ValueCountFrequency (%)
137996
9.5%
214586
 
3.6%
71526
 
0.4%
933
 
< 0.1%
ValueCountFrequency (%)
933
 
< 0.1%
71526
 
0.4%
214586
 
3.6%
137996
9.5%

CHCSCNCR
Real number (ℝ≥0)

Distinct4
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.926703238
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:37.402102image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.426623044
Coefficient of variation (CV)0.2214264427
Kurtosis103.2217638
Mean1.926703238
Median Absolute Deviation (MAD)0
Skewness6.515632125
Sum774448
Variance0.1820072217
MonotonicityNot monotonic
2022-02-18T23:51:37.583933image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2364269
90.6%
136414
 
9.1%
7976
 
0.2%
9296
 
0.1%
(Missing)3
 
< 0.1%
ValueCountFrequency (%)
136414
 
9.1%
2364269
90.6%
7976
 
0.2%
9296
 
0.1%
ValueCountFrequency (%)
9296
 
0.1%
7976
 
0.2%
2364269
90.6%
136414
 
9.1%

CHCOCNCR
Real number (ℝ≥0)

Distinct4
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.925056287
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:37.760439image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4266634684
Coefficient of variation (CV)0.2216368795
Kurtosis110.476541
Mean1.925056287
Median Absolute Deviation (MAD)0
Skewness6.739069612
Sum773786
Variance0.1820417152
MonotonicityNot monotonic
2022-02-18T23:51:37.955140image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2363989
90.6%
136786
 
9.2%
7799
 
0.2%
9381
 
0.1%
(Missing)3
 
< 0.1%
ValueCountFrequency (%)
136786
 
9.2%
2363989
90.6%
7799
 
0.2%
9381
 
0.1%
ValueCountFrequency (%)
9381
 
0.1%
7799
 
0.2%
2363989
90.6%
136786
 
9.2%

CHCCOPD2
Real number (ℝ≥0)

Distinct4
Distinct (%)< 0.1%
Missing5
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.947603327
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:38.166642image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4643612849
Coefficient of variation (CV)0.2384270342
Kurtosis97.15280192
Mean1.947603327
Median Absolute Deviation (MAD)0
Skewness7.326573188
Sum782845
Variance0.2156314029
MonotonicityNot monotonic
2022-02-18T23:51:38.321890image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2368560
91.7%
131443
 
7.8%
71634
 
0.4%
9316
 
0.1%
(Missing)5
 
< 0.1%
ValueCountFrequency (%)
131443
 
7.8%
2368560
91.7%
71634
 
0.4%
9316
 
0.1%
ValueCountFrequency (%)
9316
 
0.1%
71634
 
0.4%
2368560
91.7%
131443
 
7.8%

HAVARTH4
Real number (ℝ≥0)

Distinct4
Distinct (%)< 0.1%
Missing5
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.720656395
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:38.494726image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.62901339
Coefficient of variation (CV)0.3655659501
Kurtosis37.32441696
Mean1.720656395
Median Absolute Deviation (MAD)0
Skewness3.816300488
Sum691623
Variance0.3956578448
MonotonicityNot monotonic
2022-02-18T23:51:38.637678image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2275176
68.5%
1124479
31.0%
71945
 
0.5%
9353
 
0.1%
(Missing)5
 
< 0.1%
ValueCountFrequency (%)
1124479
31.0%
2275176
68.5%
71945
 
0.5%
9353
 
0.1%
ValueCountFrequency (%)
9353
 
0.1%
71945
 
0.5%
2275176
68.5%
1124479
31.0%

ADDEPEV3
Real number (ℝ≥0)

Distinct4
Distinct (%)< 0.1%
Missing6
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.840545637
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:38.851254image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5750736408
Coefficient of variation (CV)0.3124473684
Kurtosis58.77333966
Mean1.840545637
Median Absolute Deviation (MAD)0
Skewness5.061258185
Sum739811
Variance0.3307096923
MonotonicityNot monotonic
2022-02-18T23:51:39.062738image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2324035
80.6%
175820
 
18.9%
71476
 
0.4%
9621
 
0.2%
(Missing)6
 
< 0.1%
ValueCountFrequency (%)
175820
 
18.9%
2324035
80.6%
71476
 
0.4%
9621
 
0.2%
ValueCountFrequency (%)
9621
 
0.2%
71476
 
0.4%
2324035
80.6%
175820
 
18.9%

CHCKDNY2
Real number (ℝ≥0)

Distinct4
Distinct (%)< 0.1%
Missing6
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.983040264
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:39.296291image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3877244228
Coefficient of variation (CV)0.1955201969
Kurtosis167.7325591
Mean1.983040264
Median Absolute Deviation (MAD)0
Skewness10.56173755
Sum797087
Variance0.150330228
MonotonicityNot monotonic
2022-02-18T23:51:39.447756image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2385427
95.9%
115015
 
3.7%
71186
 
0.3%
9324
 
0.1%
(Missing)6
 
< 0.1%
ValueCountFrequency (%)
115015
 
3.7%
2385427
95.9%
71186
 
0.3%
9324
 
0.1%
ValueCountFrequency (%)
9324
 
0.1%
71186
 
0.3%
2385427
95.9%
115015
 
3.7%

DIABETE4
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing6
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.763459319
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:39.643355image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7350951185
Coefficient of variation (CV)0.2660054062
Kurtosis6.946838361
Mean2.763459319
Median Absolute Deviation (MAD)0
Skewness-0.9502085855
Sum1110778
Variance0.5403648332
MonotonicityNot monotonic
2022-02-18T23:51:39.854054image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3337064
83.9%
152094
 
13.0%
48612
 
2.1%
23374
 
0.8%
7488
 
0.1%
9320
 
0.1%
(Missing)6
 
< 0.1%
ValueCountFrequency (%)
152094
 
13.0%
23374
 
0.8%
3337064
83.9%
48612
 
2.1%
7488
 
0.1%
ValueCountFrequency (%)
9320
 
0.1%
7488
 
0.1%
48612
 
2.1%
3337064
83.9%
23374
 
0.8%

DIABAGE3
Real number (ℝ≥0)

MISSING

Distinct96
Distinct (%)0.2%
Missing349864
Missing (%)87.0%
Infinite0
Infinite (%)0.0%
Mean53.16702499
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:40.048518image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24
Q141
median52
Q362
95-th percentile98
Maximum99
Range98
Interquartile range (IQR)21

Descriptive statistics

Standard deviation18.63791943
Coefficient of variation (CV)0.3505541157
Kurtosis0.6894571306
Mean53.16702499
Median Absolute Deviation (MAD)10
Skewness0.387336568
Sum2769683
Variance347.3720407
MonotonicityNot monotonic
2022-02-18T23:51:40.235327image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
504770
 
1.2%
603680
 
0.9%
983178
 
0.8%
553146
 
0.8%
402943
 
0.7%
452446
 
0.6%
652026
 
0.5%
701410
 
0.4%
351354
 
0.3%
301204
 
0.3%
Other values (86)25937
 
6.5%
(Missing)349864
87.0%
ValueCountFrequency (%)
145
< 0.1%
231
< 0.1%
331
< 0.1%
453
< 0.1%
576
< 0.1%
ValueCountFrequency (%)
99251
 
0.1%
983178
0.8%
943
 
< 0.1%
933
 
< 0.1%
924
 
< 0.1%

LASTDEN4
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.728912231
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:40.445903image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.273167633
Coefficient of variation (CV)0.7363980717
Kurtosis5.899277077
Mean1.728912231
Median Absolute Deviation (MAD)0
Skewness2.198100965
Sum694938
Variance1.620955821
MonotonicityNot monotonic
2022-02-18T23:51:40.576785image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1267045
66.4%
249671
 
12.4%
441865
 
10.4%
336441
 
9.1%
74162
 
1.0%
82269
 
0.6%
9498
 
0.1%
(Missing)7
 
< 0.1%
ValueCountFrequency (%)
1267045
66.4%
249671
 
12.4%
336441
 
9.1%
441865
 
10.4%
74162
 
1.0%
ValueCountFrequency (%)
9498
 
0.1%
82269
 
0.6%
74162
 
1.0%
441865
10.4%
336441
9.1%

RMVTETH4
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean5.022234053
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:40.711163image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.25939342
Coefficient of variation (CV)0.6489927361
Kurtosis-1.87201671
Mean5.022234053
Median Absolute Deviation (MAD)0
Skewness-0.2352138016
Sum2018692
Variance10.62364546
MonotonicityNot monotonic
2022-02-18T23:51:40.838834image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8209239
52.1%
1116271
28.9%
241906
 
10.4%
324745
 
6.2%
78824
 
2.2%
9966
 
0.2%
(Missing)7
 
< 0.1%
ValueCountFrequency (%)
1116271
28.9%
241906
 
10.4%
324745
 
6.2%
78824
 
2.2%
8209239
52.1%
ValueCountFrequency (%)
9966
 
0.2%
8209239
52.1%
78824
 
2.2%
324745
 
6.2%
241906
 
10.4%

MARITAL
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.387850607
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:40.994766image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.798302747
Coefficient of variation (CV)0.7531052161
Kurtosis0.3288556859
Mean2.387850607
Median Absolute Deviation (MAD)0
Skewness1.103795966
Sum959787
Variance3.233892771
MonotonicityNot monotonic
2022-02-18T23:51:41.119032image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1207302
51.6%
572051
 
17.9%
251939
 
12.9%
343646
 
10.9%
615261
 
3.8%
47975
 
2.0%
93772
 
0.9%
(Missing)12
 
< 0.1%
ValueCountFrequency (%)
1207302
51.6%
251939
 
12.9%
343646
 
10.9%
47975
 
2.0%
572051
 
17.9%
ValueCountFrequency (%)
93772
 
0.9%
615261
 
3.8%
572051
17.9%
47975
 
2.0%
343646
10.9%

EDUCA
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.985162186
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:41.260488image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median5
Q36
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.051627893
Coefficient of variation (CV)0.2109515908
Kurtosis0.6816730013
Mean4.985162186
Median Absolute Deviation (MAD)1
Skewness-0.4429396898
Sum2003766
Variance1.105921226
MonotonicityNot monotonic
2022-02-18T23:51:41.412243image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6155340
38.6%
5111387
27.7%
4107096
26.6%
317596
 
4.4%
28092
 
2.0%
91875
 
0.5%
1560
 
0.1%
(Missing)12
 
< 0.1%
ValueCountFrequency (%)
1560
 
0.1%
28092
 
2.0%
317596
 
4.4%
4107096
26.6%
5111387
27.7%
ValueCountFrequency (%)
91875
 
0.5%
6155340
38.6%
5111387
27.7%
4107096
26.6%
317596
 
4.4%

RENTHOM1
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing15
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.409015706
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:41.602127image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8793757119
Coefficient of variation (CV)0.6241063943
Kurtosis37.46122542
Mean1.409015706
Median Absolute Deviation (MAD)0
Skewness5.059029367
Sum566344
Variance0.7733016427
MonotonicityNot monotonic
2022-02-18T23:51:41.733272image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1280664
69.8%
297305
 
24.2%
320507
 
5.1%
92640
 
0.7%
7827
 
0.2%
(Missing)15
 
< 0.1%
ValueCountFrequency (%)
1280664
69.8%
297305
 
24.2%
320507
 
5.1%
7827
 
0.2%
92640
 
0.7%
ValueCountFrequency (%)
92640
 
0.7%
7827
 
0.2%
320507
 
5.1%
297305
 
24.2%
1280664
69.8%

NUMHHOL3
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing277212
Missing (%)69.0%
Infinite0
Infinite (%)0.0%
Mean1.807552948
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:41.894143image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7312305882
Coefficient of variation (CV)0.4045417254
Kurtosis55.55245266
Mean1.807552948
Median Absolute Deviation (MAD)0
Skewness5.812549192
Sum225485
Variance0.5346981732
MonotonicityNot monotonic
2022-02-18T23:51:42.064461image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
293529
 
23.3%
130250
 
7.5%
9704
 
0.2%
7263
 
0.1%
(Missing)277212
69.0%
ValueCountFrequency (%)
130250
 
7.5%
293529
23.3%
7263
 
0.1%
9704
 
0.2%
ValueCountFrequency (%)
9704
 
0.2%
7263
 
0.1%
293529
23.3%
130250
 
7.5%

NUMPHON3
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)< 0.1%
Missing371708
Missing (%)92.5%
Infinite0
Infinite (%)0.0%
Mean1.659603306
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:42.205951image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.472324333
Coefficient of variation (CV)0.8871543747
Kurtosis12.56616595
Mean1.659603306
Median Absolute Deviation (MAD)0
Skewness3.457786217
Sum50203
Variance2.167738941
MonotonicityNot monotonic
2022-02-18T23:51:42.342011image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
120334
 
5.1%
26505
 
1.6%
31784
 
0.4%
9438
 
0.1%
7367
 
0.1%
8359
 
0.1%
4284
 
0.1%
693
 
< 0.1%
586
 
< 0.1%
(Missing)371708
92.5%
ValueCountFrequency (%)
120334
5.1%
26505
 
1.6%
31784
 
0.4%
4284
 
0.1%
586
 
< 0.1%
ValueCountFrequency (%)
9438
0.1%
8359
0.1%
7367
0.1%
693
 
< 0.1%
586
 
< 0.1%

CPDEMO1B
Real number (ℝ≥0)

Distinct9
Distinct (%)< 0.1%
Missing116
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.514719716
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:42.519856image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.64309856
Coefficient of variation (CV)1.084754191
Kurtosis11.84251405
Mean1.514719716
Median Absolute Deviation (MAD)0
Skewness3.61528214
Sum608678
Variance2.699772878
MonotonicityNot monotonic
2022-02-18T23:51:42.651412image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1338710
84.3%
234055
 
8.5%
816498
 
4.1%
34671
 
1.2%
94312
 
1.1%
42119
 
0.5%
5686
 
0.2%
7401
 
0.1%
6390
 
0.1%
(Missing)116
 
< 0.1%
ValueCountFrequency (%)
1338710
84.3%
234055
 
8.5%
34671
 
1.2%
42119
 
0.5%
5686
 
0.2%
ValueCountFrequency (%)
94312
 
1.1%
816498
4.1%
7401
 
0.1%
6390
 
0.1%
5686
 
0.2%

VETERAN3
Real number (ℝ≥0)

Distinct4
Distinct (%)< 0.1%
Missing1307
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1.900244852
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:42.793401image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5010461687
Coefficient of variation (CV)0.2636745303
Kurtosis110.4588675
Mean1.900244852
Median Absolute Deviation (MAD)0
Skewness7.333187783
Sum761335
Variance0.2510472631
MonotonicityNot monotonic
2022-02-18T23:51:42.931103image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2351210
87.4%
148221
 
12.0%
91077
 
0.3%
7143
 
< 0.1%
(Missing)1307
 
0.3%
ValueCountFrequency (%)
148221
 
12.0%
2351210
87.4%
7143
 
< 0.1%
91077
 
0.3%
ValueCountFrequency (%)
91077
 
0.3%
7143
 
< 0.1%
2351210
87.4%
148221
 
12.0%

EMPLOY1
Real number (ℝ≥0)

Distinct9
Distinct (%)< 0.1%
Missing2925
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean3.844494064
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:43.087305image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q37
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.856366702
Coefficient of variation (CV)0.7429759687
Kurtosis-1.732596022
Mean3.844494064
Median Absolute Deviation (MAD)1
Skewness0.2332515509
Sum1534080
Variance8.158830735
MonotonicityNot monotonic
2022-02-18T23:51:43.269999image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1165872
41.3%
7117209
29.2%
234921
 
8.7%
825429
 
6.3%
517080
 
4.2%
416409
 
4.1%
610730
 
2.7%
37232
 
1.8%
94151
 
1.0%
(Missing)2925
 
0.7%
ValueCountFrequency (%)
1165872
41.3%
234921
 
8.7%
37232
 
1.8%
416409
 
4.1%
517080
 
4.2%
ValueCountFrequency (%)
94151
 
1.0%
825429
 
6.3%
7117209
29.2%
610730
 
2.7%
517080
 
4.2%

CHILDREN
Real number (ℝ≥0)

MISSING

Distinct27
Distinct (%)< 0.1%
Missing4767
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean65.48087192
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:43.519596image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)84

Descriptive statistics

Standard deviation37.95399855
Coefficient of variation (CV)0.5796196268
Kurtosis-0.8379844995
Mean65.48087192
Median Absolute Deviation (MAD)0
Skewness-1.075127175
Sum26008413
Variance1440.506006
MonotonicityNot monotonic
2022-02-18T23:51:43.734630image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
88289105
71.9%
143345
 
10.8%
236227
 
9.0%
315832
 
3.9%
45874
 
1.5%
993651
 
0.9%
51885
 
0.5%
6739
 
0.2%
7268
 
0.1%
8124
 
< 0.1%
Other values (17)141
 
< 0.1%
(Missing)4767
 
1.2%
ValueCountFrequency (%)
143345
10.8%
236227
9.0%
315832
 
3.9%
45874
 
1.5%
51885
 
0.5%
ValueCountFrequency (%)
993651
 
0.9%
88289105
71.9%
821
 
< 0.1%
816
 
< 0.1%
772
 
< 0.1%

INCOME2
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)< 0.1%
Missing7358
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean21.50839331
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:43.919652image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median7
Q38
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)3

Descriptive statistics

Standard deviation32.88325005
Coefficient of variation (CV)1.528856646
Kurtosis0.9926775918
Mean21.50839331
Median Absolute Deviation (MAD)1
Skewness1.690160727
Sum8487212
Variance1081.308134
MonotonicityNot monotonic
2022-02-18T23:51:44.165013image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
8118779
29.6%
752486
13.1%
643851
 
10.9%
9942603
 
10.6%
531410
 
7.8%
7730096
 
7.5%
427719
 
6.9%
321048
 
5.2%
213705
 
3.4%
112903
 
3.2%
(Missing)7358
 
1.8%
ValueCountFrequency (%)
112903
3.2%
213705
3.4%
321048
5.2%
427719
6.9%
531410
7.8%
ValueCountFrequency (%)
9942603
 
10.6%
7730096
 
7.5%
8118779
29.6%
752486
13.1%
643851
 
10.9%

PREGNANT
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing326368
Missing (%)81.2%
Infinite0
Infinite (%)0.0%
Mean2.009604445
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:44.466783image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5179576582
Coefficient of variation (CV)0.257741099
Kurtosis137.6380366
Mean2.009604445
Median Absolute Deviation (MAD)0
Skewness10.86254279
Sum151906
Variance0.2682801356
MonotonicityNot monotonic
2022-02-18T23:51:44.668532image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
272968
 
18.2%
12153
 
0.5%
9267
 
0.1%
7202
 
0.1%
(Missing)326368
81.2%
ValueCountFrequency (%)
12153
 
0.5%
272968
18.2%
7202
 
0.1%
9267
 
0.1%
ValueCountFrequency (%)
9267
 
0.1%
7202
 
0.1%
272968
18.2%
12153
 
0.5%

WEIGHT2
Real number (ℝ≥0)

MISSING

Distinct574
Distinct (%)0.1%
Missing9852
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean796.6646902
Minimum50
Maximum9999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:44.972778image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile120
Q1150
median180
Q3217
95-th percentile7777
Maximum9999
Range9949
Interquartile range (IQR)67

Descriptive statistics

Standard deviation2308.947322
Coefficient of variation (CV)2.898267427
Kurtosis10.59487226
Mean796.6646902
Median Absolute Deviation (MAD)30
Skewness3.527038343
Sum312377005
Variance5331237.734
MonotonicityNot monotonic
2022-02-18T23:51:45.302287image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20019745
 
4.9%
18018493
 
4.6%
999917968
 
4.5%
15016636
 
4.1%
16016606
 
4.1%
17015192
 
3.8%
19013276
 
3.3%
14012357
 
3.1%
17510698
 
2.7%
16510001
 
2.5%
Other values (564)241134
60.0%
(Missing)9852
 
2.5%
ValueCountFrequency (%)
509
< 0.1%
523
 
< 0.1%
541
 
< 0.1%
555
< 0.1%
561
 
< 0.1%
ValueCountFrequency (%)
999917968
4.5%
93521
 
< 0.1%
93501
 
< 0.1%
93351
 
< 0.1%
93301
 
< 0.1%

HEIGHT3
Real number (ℝ≥0)

MISSING

Distinct147
Distinct (%)< 0.1%
Missing10824
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean807.0277424
Minimum204
Maximum9999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:45.692824image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum204
5-th percentile501
Q1504
median507
Q3510
95-th percentile604
Maximum9999
Range9795
Interquartile range (IQR)6

Descriptive statistics

Standard deviation1560.950126
Coefficient of variation (CV)1.934196365
Kurtosis26.56972259
Mean807.0277424
Median Absolute Deviation (MAD)3
Skewness5.311362583
Sum315655989
Variance2436565.295
MonotonicityNot monotonic
2022-02-18T23:51:46.102357image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50633784
 
8.4%
50433015
 
8.2%
50730496
 
7.6%
50529791
 
7.4%
51028639
 
7.1%
50828092
 
7.0%
50326416
 
6.6%
60026256
 
6.5%
50926091
 
6.5%
50225160
 
6.3%
Other values (137)103394
25.7%
ValueCountFrequency (%)
2041
 
< 0.1%
2091
 
< 0.1%
30022
< 0.1%
3025
 
< 0.1%
3032
 
< 0.1%
ValueCountFrequency (%)
99996863
1.7%
92161
 
< 0.1%
92091
 
< 0.1%
92051
 
< 0.1%
92031
 
< 0.1%

DEAF
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing12415
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean1.935637401
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:46.362033image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4593388094
Coefficient of variation (CV)0.2373062275
Kurtosis111.120658
Mean1.935637401
Median Absolute Deviation (MAD)0
Skewness7.545196343
Sum754014
Variance0.2109921418
MonotonicityNot monotonic
2022-02-18T23:51:46.596511image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2354411
88.2%
133631
 
8.4%
7974
 
0.2%
9527
 
0.1%
(Missing)12415
 
3.1%
ValueCountFrequency (%)
133631
 
8.4%
2354411
88.2%
7974
 
0.2%
9527
 
0.1%
ValueCountFrequency (%)
9527
 
0.1%
7974
 
0.2%
2354411
88.2%
133631
 
8.4%

BLIND
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing13324
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean1.968443317
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:46.725300image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4100557938
Coefficient of variation (CV)0.2083147583
Kurtosis159.3680698
Mean1.968443317
Median Absolute Deviation (MAD)0
Skewness9.845381608
Sum765004
Variance0.1681457541
MonotonicityNot monotonic
2022-02-18T23:51:46.847074image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2367276
91.4%
120009
 
5.0%
7849
 
0.2%
9500
 
0.1%
(Missing)13324
 
3.3%
ValueCountFrequency (%)
120009
 
5.0%
2367276
91.4%
7849
 
0.2%
9500
 
0.1%
ValueCountFrequency (%)
9500
 
0.1%
7849
 
0.2%
2367276
91.4%
120009
 
5.0%

DECIDE
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing14351
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean1.93746759
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:46.982684image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.547761509
Coefficient of variation (CV)0.2827203469
Kurtosis82.27306152
Mean1.93746759
Median Absolute Deviation (MAD)0
Skewness7.08925812
Sum750976
Variance0.3000426707
MonotonicityNot monotonic
2022-02-18T23:51:47.136278image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2346929
86.3%
138175
 
9.5%
71792
 
0.4%
9711
 
0.2%
(Missing)14351
 
3.6%
ValueCountFrequency (%)
138175
 
9.5%
2346929
86.3%
71792
 
0.4%
9711
 
0.2%
ValueCountFrequency (%)
9711
 
0.2%
71792
 
0.4%
2346929
86.3%
138175
 
9.5%

DIFFWALK
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing15280
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean1.873326127
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:47.270188image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5075259429
Coefficient of variation (CV)0.2709223641
Kurtosis73.39150141
Mean1.873326127
Median Absolute Deviation (MAD)0
Skewness5.353092257
Sum724374
Variance0.2575825827
MonotonicityNot monotonic
2022-02-18T23:51:47.431243image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2327864
81.6%
157335
 
14.3%
71000
 
0.2%
9479
 
0.1%
(Missing)15280
 
3.8%
ValueCountFrequency (%)
157335
 
14.3%
2327864
81.6%
71000
 
0.2%
9479
 
0.1%
ValueCountFrequency (%)
9479
 
0.1%
71000
 
0.2%
2327864
81.6%
157335
 
14.3%

DIFFDRES
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing15892
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean1.97552232
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:47.646802image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3233563041
Coefficient of variation (CV)0.1636814228
Kurtosis271.1873299
Mean1.97552232
Median Absolute Deviation (MAD)0
Skewness12.37806989
Sum762682
Variance0.1045592994
MonotonicityNot monotonic
2022-02-18T23:51:47.940325image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2371628
92.5%
113736
 
3.4%
9388
 
0.1%
7314
 
0.1%
(Missing)15892
 
4.0%
ValueCountFrequency (%)
113736
 
3.4%
2371628
92.5%
7314
 
0.1%
9388
 
0.1%
ValueCountFrequency (%)
9388
 
0.1%
7314
 
0.1%
2371628
92.5%
113736
 
3.4%

DIFFALON
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing16769
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean1.951366732
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:48.124812image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4314366189
Coefficient of variation (CV)0.2210945856
Kurtosis135.5431082
Mean1.951366732
Median Absolute Deviation (MAD)0
Skewness8.605319665
Sum751645
Variance0.1861375562
MonotonicityNot monotonic
2022-02-18T23:51:48.287700image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2357364
88.9%
126485
 
6.6%
7814
 
0.2%
9526
 
0.1%
(Missing)16769
 
4.2%
ValueCountFrequency (%)
126485
 
6.6%
2357364
88.9%
7814
 
0.2%
9526
 
0.1%
ValueCountFrequency (%)
9526
 
0.1%
7814
 
0.2%
2357364
88.9%
126485
 
6.6%

SMOKE100
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing17860
Missing (%)4.4%
Infinite0
Infinite (%)0.0%
Mean1.631825732
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:48.489370image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.703787355
Coefficient of variation (CV)0.4312883056
Kurtosis36.36435759
Mean1.631825732
Median Absolute Deviation (MAD)0
Skewness4.201881384
Sum626781
Variance0.4953166411
MonotonicityNot monotonic
2022-02-18T23:51:48.636498image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2224535
55.9%
1156750
39.0%
72178
 
0.5%
9635
 
0.2%
(Missing)17860
 
4.4%
ValueCountFrequency (%)
1156750
39.0%
2224535
55.9%
72178
 
0.5%
9635
 
0.2%
ValueCountFrequency (%)
9635
 
0.2%
72178
 
0.5%
2224535
55.9%
1156750
39.0%

SMOKDAY2
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing245324
Missing (%)61.0%
Infinite0
Infinite (%)0.0%
Mean2.432077327
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:48.811043image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8961866379
Coefficient of variation (CV)0.368486079
Kurtosis3.144266305
Mean2.432077327
Median Absolute Deviation (MAD)0
Skewness-0.2056318877
Sum380946
Variance0.8031504899
MonotonicityNot monotonic
2022-02-18T23:51:48.948130image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3103835
25.8%
138152
 
9.5%
214336
 
3.6%
9220
 
0.1%
791
 
< 0.1%
(Missing)245324
61.0%
ValueCountFrequency (%)
138152
 
9.5%
214336
 
3.6%
3103835
25.8%
791
 
< 0.1%
9220
 
0.1%
ValueCountFrequency (%)
9220
 
0.1%
791
 
< 0.1%
3103835
25.8%
214336
 
3.6%
138152
 
9.5%

STOPSMK2
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing349535
Missing (%)87.0%
Infinite0
Infinite (%)0.0%
Mean1.495011731
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:49.136528image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6175248574
Coefficient of variation (CV)0.413056864
Kurtosis30.05723181
Mean1.495011731
Median Absolute Deviation (MAD)0
Skewness3.322939538
Sum78373
Variance0.3813369495
MonotonicityNot monotonic
2022-02-18T23:51:49.340420image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
127560
 
6.9%
224656
 
6.1%
7181
 
< 0.1%
926
 
< 0.1%
(Missing)349535
87.0%
ValueCountFrequency (%)
127560
6.9%
224656
6.1%
7181
 
< 0.1%
926
 
< 0.1%
ValueCountFrequency (%)
926
 
< 0.1%
7181
 
< 0.1%
224656
6.1%
127560
6.9%

LASTSMK2
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)< 0.1%
Missing298233
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean6.823793685
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:49.572649image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median7
Q37
95-th percentile7
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.847020565
Coefficient of variation (CV)1.003403807
Kurtosis108.8240151
Mean6.823793685
Median Absolute Deviation (MAD)0
Skewness10.21511263
Sum707798
Variance46.88169061
MonotonicityNot monotonic
2022-02-18T23:51:49.765117image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
768085
 
16.9%
514040
 
3.5%
610406
 
2.6%
43472
 
0.9%
12314
 
0.6%
32120
 
0.5%
22086
 
0.5%
77783
 
0.2%
8329
 
0.1%
9990
 
< 0.1%
(Missing)298233
74.2%
ValueCountFrequency (%)
12314
 
0.6%
22086
 
0.5%
32120
 
0.5%
43472
 
0.9%
514040
3.5%
ValueCountFrequency (%)
9990
 
< 0.1%
77783
 
0.2%
8329
 
0.1%
768085
16.9%
610406
 
2.6%

USENOW3
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing18493
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean2.962400741
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:49.950388image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4174928856
Coefficient of variation (CV)0.1409305905
Kurtosis89.80099652
Mean2.962400741
Median Absolute Deviation (MAD)0
Skewness3.995081391
Sum1135977
Variance0.1743003095
MonotonicityNot monotonic
2022-02-18T23:51:50.132909image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3369261
91.9%
17572
 
1.9%
25400
 
1.3%
7633
 
0.2%
9599
 
0.1%
(Missing)18493
 
4.6%
ValueCountFrequency (%)
17572
 
1.9%
25400
 
1.3%
3369261
91.9%
7633
 
0.2%
9599
 
0.1%
ValueCountFrequency (%)
9599
 
0.1%
7633
 
0.2%
3369261
91.9%
25400
 
1.3%
17572
 
1.9%

ALCDAY5
Real number (ℝ≥0)

MISSING

Distinct40
Distinct (%)< 0.1%
Missing20927
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean530.8527311
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:50.317776image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile102
Q1202
median230
Q3888
95-th percentile888
Maximum999
Range898
Interquartile range (IQR)686

Descriptive statistics

Standard deviation356.3498745
Coefficient of variation (CV)0.6712782164
Kurtosis-1.95302797
Mean530.8527311
Median Absolute Deviation (MAD)129
Skewness-0.0138380262
Sum202271347
Variance126985.2331
MonotonicityNot monotonic
2022-02-18T23:51:50.604450image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
888183618
45.7%
20127715
 
6.9%
20221224
 
5.3%
10116147
 
4.0%
23015744
 
3.9%
10213039
 
3.2%
20311984
 
3.0%
20510038
 
2.5%
20410021
 
2.5%
1039100
 
2.3%
Other values (30)62401
 
15.5%
(Missing)20927
 
5.2%
ValueCountFrequency (%)
10116147
4.0%
10213039
3.2%
1039100
2.3%
1044456
 
1.1%
1054267
 
1.1%
ValueCountFrequency (%)
9992250
 
0.6%
888183618
45.7%
7773598
 
0.9%
23015744
 
3.9%
229331
 
0.1%

AVEDRNK3
Real number (ℝ≥0)

MISSING

Distinct56
Distinct (%)< 0.1%
Missing211099
Missing (%)52.5%
Infinite0
Infinite (%)0.0%
Mean4.077250745
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:51.035077image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile7
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation12.34253596
Coefficient of variation (CV)3.027171182
Kurtosis38.55737033
Mean4.077250745
Median Absolute Deviation (MAD)1
Skewness6.24439111
Sum778180
Variance152.3381939
MonotonicityNot monotonic
2022-02-18T23:51:51.469223image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
183821
 
20.9%
255796
 
13.9%
321862
 
5.4%
49486
 
2.4%
55062
 
1.3%
64812
 
1.2%
772463
 
0.6%
101393
 
0.3%
81293
 
0.3%
881063
 
0.3%
Other values (46)3808
 
0.9%
(Missing)211099
52.5%
ValueCountFrequency (%)
183821
20.9%
255796
13.9%
321862
 
5.4%
49486
 
2.4%
55062
 
1.3%
ValueCountFrequency (%)
99747
 
0.2%
881063
0.3%
772463
0.6%
7613
 
< 0.1%
753
 
< 0.1%

DRNK3GE5
Real number (ℝ≥0)

MISSING

Distinct44
Distinct (%)< 0.1%
Missing211626
Missing (%)52.6%
Infinite0
Infinite (%)0.0%
Mean66.37101486
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:51.712923image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q130
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)58

Descriptive statistics

Standard deviation36.53795863
Coefficient of variation (CV)0.5505107721
Kurtosis-0.7064181159
Mean66.37101486
Median Absolute Deviation (MAD)0
Skewness-1.121818395
Sum12632528
Variance1335.022421
MonotonicityNot monotonic
2022-02-18T23:51:51.908834image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
88137758
34.3%
116473
 
4.1%
210083
 
2.5%
34720
 
1.2%
44461
 
1.1%
53543
 
0.9%
772587
 
0.6%
302047
 
0.5%
101781
 
0.4%
61348
 
0.3%
Other values (34)5531
 
1.4%
(Missing)211626
52.6%
ValueCountFrequency (%)
116473
4.1%
210083
2.5%
34720
 
1.2%
44461
 
1.1%
53543
 
0.9%
ValueCountFrequency (%)
99704
 
0.2%
88137758
34.3%
772587
 
0.6%
768
 
< 0.1%
701
 
< 0.1%

MAXDRNKS
Real number (ℝ≥0)

MISSING

Distinct63
Distinct (%)< 0.1%
Missing212112
Missing (%)52.8%
Infinite0
Infinite (%)0.0%
Mean6.222106339
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:52.238676image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile15
Maximum99
Range98
Interquartile range (IQR)3

Descriptive statistics

Standard deviation15.24037235
Coefficient of variation (CV)2.449391173
Kurtosis20.98939853
Mean6.222106339
Median Absolute Deviation (MAD)1
Skewness4.660149723
Sum1181242
Variance232.2689492
MonotonicityNot monotonic
2022-02-18T23:51:52.506744image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
151397
 
12.8%
248666
 
12.1%
328825
 
7.2%
415472
 
3.8%
511317
 
2.8%
69467
 
2.4%
775732
 
1.4%
84119
 
1.0%
103678
 
0.9%
73279
 
0.8%
Other values (53)7894
 
2.0%
(Missing)212112
52.8%
ValueCountFrequency (%)
151397
12.8%
248666
12.1%
328825
7.2%
415472
 
3.8%
511317
 
2.8%
ValueCountFrequency (%)
991359
 
0.3%
775732
1.4%
7619
 
< 0.1%
751
 
< 0.1%
741
 
< 0.1%

FLUSHOT7
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing23525
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean1.511163139
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:52.687960image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.681250405
Coefficient of variation (CV)0.4508119525
Kurtosis37.35137083
Mean1.511163139
Median Absolute Deviation (MAD)0
Skewness4.210503408
Sum571874
Variance0.4641021143
MonotonicityNot monotonic
2022-02-18T23:51:52.900272image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1197197
49.1%
2179019
44.5%
71657
 
0.4%
9560
 
0.1%
(Missing)23525
 
5.9%
ValueCountFrequency (%)
1197197
49.1%
2179019
44.5%
71657
 
0.4%
9560
 
0.1%
ValueCountFrequency (%)
9560
 
0.1%
71657
 
0.4%
2179019
44.5%
1197197
49.1%

FLSHTMY3
Real number (ℝ≥0)

MISSING

Distinct30
Distinct (%)< 0.1%
Missing205030
Missing (%)51.0%
Infinite0
Infinite (%)0.0%
Mean138213.8386
Minimum12019
Maximum999999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:53.115240image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum12019
5-th percentile22020
Q192020
median102019
Q3112019
95-th percentile777777
Maximum999999
Range987980
Interquartile range (IQR)19999

Descriptive statistics

Standard deviation168568.0745
Coefficient of variation (CV)1.219617921
Kurtosis10.84145727
Mean138213.8386
Median Absolute Deviation (MAD)9999
Skewness3.516030447
Sum2.72181748 × 1010
Variance2.841519574 × 1010
MonotonicityNot monotonic
2022-02-18T23:51:53.337446image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
10201957858
 
14.4%
11201926328
 
6.5%
10202025492
 
6.3%
9201920104
 
5.0%
9202015316
 
3.8%
77777711893
 
3.0%
1220198971
 
2.2%
120207405
 
1.8%
1120207082
 
1.8%
220204121
 
1.0%
Other values (20)12358
 
3.1%
(Missing)205030
51.0%
ValueCountFrequency (%)
12019167
 
< 0.1%
120207405
1.8%
1202175
 
< 0.1%
22019240
 
0.1%
220204121
1.0%
ValueCountFrequency (%)
999999376
 
0.1%
77777711893
3.0%
1220201035
 
0.3%
1220198971
2.2%
1120207082
1.8%

SHINGLE2
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing165874
Missing (%)41.3%
Infinite0
Infinite (%)0.0%
Mean1.738584572
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:53.547543image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8944037141
Coefficient of variation (CV)0.5144436047
Kurtosis23.48799219
Mean1.738584572
Median Absolute Deviation (MAD)0
Skewness4.084454979
Sum410452
Variance0.7999580038
MonotonicityNot monotonic
2022-02-18T23:51:53.743240image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2146462
36.4%
185049
21.2%
74339
 
1.1%
9234
 
0.1%
(Missing)165874
41.3%
ValueCountFrequency (%)
185049
21.2%
2146462
36.4%
74339
 
1.1%
9234
 
0.1%
ValueCountFrequency (%)
9234
 
0.1%
74339
 
1.1%
2146462
36.4%
185049
21.2%

PNEUVAC4
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing24437
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean2.05508038
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:53.967192image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.587235735
Coefficient of variation (CV)0.7723472767
Kurtosis5.422203625
Mean2.05508038
Median Absolute Deviation (MAD)0
Skewness2.525491939
Sum775836
Variance2.519317277
MonotonicityNot monotonic
2022-02-18T23:51:54.131682image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2205331
51.1%
1140195
34.9%
731488
 
7.8%
9507
 
0.1%
(Missing)24437
 
6.1%
ValueCountFrequency (%)
1140195
34.9%
2205331
51.1%
731488
 
7.8%
9507
 
0.1%
ValueCountFrequency (%)
9507
 
0.1%
731488
 
7.8%
2205331
51.1%
1140195
34.9%

FALL12MN
Real number (ℝ≥0)

MISSING

Distinct58
Distinct (%)< 0.1%
Missing137808
Missing (%)34.3%
Infinite0
Infinite (%)0.0%
Mean65.78106379
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:54.334548image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q110
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)78

Descriptive statistics

Standard deviation37.37961142
Coefficient of variation (CV)0.5682427323
Kurtosis-0.7673000159
Mean65.78106379
Median Absolute Deviation (MAD)0
Skewness-1.104099932
Sum17376068
Variance1397.23535
MonotonicityNot monotonic
2022-02-18T23:51:54.665658image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88191978
47.8%
132548
 
8.1%
217136
 
4.3%
37286
 
1.8%
43266
 
0.8%
773024
 
0.8%
52335
 
0.6%
61737
 
0.4%
101065
 
0.3%
12723
 
0.2%
Other values (48)3052
 
0.8%
(Missing)137808
34.3%
ValueCountFrequency (%)
132548
8.1%
217136
4.3%
37286
 
1.8%
43266
 
0.8%
52335
 
0.6%
ValueCountFrequency (%)
99448
 
0.1%
88191978
47.8%
773024
 
0.8%
76219
 
0.1%
754
 
< 0.1%

FALLINJ4
Real number (ℝ≥0)

MISSING

Distinct43
Distinct (%)0.1%
Missing333322
Missing (%)82.9%
Infinite0
Infinite (%)0.0%
Mean56.64933854
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:54.958023image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)87

Descriptive statistics

Standard deviation41.4267076
Coefficient of variation (CV)0.7312831654
Kurtosis-1.666985524
Mean56.64933854
Median Absolute Deviation (MAD)0
Skewness-0.571923651
Sum3888184
Variance1716.172103
MonotonicityNot monotonic
2022-02-18T23:51:55.263925image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
8843133
 
10.7%
117538
 
4.4%
23934
 
1.0%
31469
 
0.4%
4579
 
0.1%
77462
 
0.1%
5437
 
0.1%
6252
 
0.1%
10169
 
< 0.1%
798
 
< 0.1%
Other values (33)565
 
0.1%
(Missing)333322
82.9%
ValueCountFrequency (%)
117538
4.4%
23934
 
1.0%
31469
 
0.4%
4579
 
0.1%
5437
 
0.1%
ValueCountFrequency (%)
9976
 
< 0.1%
8843133
10.7%
77462
 
0.1%
7644
 
< 0.1%
751
 
< 0.1%

SEATBELT
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing25511
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean1.258556981
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:55.454082image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8446777382
Coefficient of variation (CV)0.6711477912
Kurtosis25.49680925
Mean1.258556981
Median Absolute Deviation (MAD)0
Skewness4.560195429
Sum473780
Variance0.7134804815
MonotonicityNot monotonic
2022-02-18T23:51:55.675255image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1327249
81.4%
226763
 
6.7%
310195
 
2.5%
56632
 
1.6%
43942
 
1.0%
8976
 
0.2%
9427
 
0.1%
7263
 
0.1%
(Missing)25511
 
6.3%
ValueCountFrequency (%)
1327249
81.4%
226763
 
6.7%
310195
 
2.5%
43942
 
1.0%
56632
 
1.6%
ValueCountFrequency (%)
9427
 
0.1%
8976
 
0.2%
7263
 
0.1%
56632
1.6%
43942
1.0%

DRNKDRI2
Real number (ℝ≥0)

MISSING

Distinct37
Distinct (%)< 0.1%
Missing208430
Missing (%)51.9%
Infinite0
Infinite (%)0.0%
Mean86.00630916
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:55.992834image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile88
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.87288822
Coefficient of variation (CV)0.1496737663
Kurtosis37.92234668
Mean86.00630916
Median Absolute Deviation (MAD)0
Skewness-6.290528024
Sum16644629
Variance165.7112511
MonotonicityNot monotonic
2022-02-18T23:51:56.251089image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
88187473
46.6%
12327
 
0.6%
21124
 
0.3%
77868
 
0.2%
99657
 
0.2%
3296
 
0.1%
5155
 
< 0.1%
4152
 
< 0.1%
8103
 
< 0.1%
30103
 
< 0.1%
Other values (27)270
 
0.1%
(Missing)208430
51.9%
ValueCountFrequency (%)
12327
0.6%
21124
0.3%
3296
 
0.1%
4152
 
< 0.1%
5155
 
< 0.1%
ValueCountFrequency (%)
99657
 
0.2%
88187473
46.6%
77868
 
0.2%
761
 
< 0.1%
661
 
< 0.1%

HADMAM
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing198438
Missing (%)49.4%
Infinite0
Infinite (%)0.0%
Mean1.255920794
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:56.426310image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6171907819
Coefficient of variation (CV)0.4914249249
Kurtosis70.83350674
Mean1.255920794
Median Absolute Deviation (MAD)0
Skewness6.580548677
Sum255605
Variance0.3809244613
MonotonicityNot monotonic
2022-02-18T23:51:56.568005image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1156765
39.0%
245883
 
11.4%
9485
 
0.1%
7387
 
0.1%
(Missing)198438
49.4%
ValueCountFrequency (%)
1156765
39.0%
245883
 
11.4%
7387
 
0.1%
9485
 
0.1%
ValueCountFrequency (%)
9485
 
0.1%
7387
 
0.1%
245883
 
11.4%
1156765
39.0%

HOWLONG
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing245446
Missing (%)61.1%
Infinite0
Infinite (%)0.0%
Mean2.01665687
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:56.726391image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.480496128
Coefficient of variation (CV)0.7341338779
Kurtosis1.559597669
Mean2.01665687
Median Absolute Deviation (MAD)0
Skewness1.503275816
Sum315631
Variance2.191868786
MonotonicityNot monotonic
2022-02-18T23:51:56.894736image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
186916
 
21.6%
230723
 
7.6%
515842
 
3.9%
311873
 
3.0%
48718
 
2.2%
72196
 
0.5%
9244
 
0.1%
(Missing)245446
61.1%
ValueCountFrequency (%)
186916
21.6%
230723
 
7.6%
311873
 
3.0%
48718
 
2.2%
515842
 
3.9%
ValueCountFrequency (%)
9244
 
0.1%
72196
 
0.5%
515842
3.9%
48718
2.2%
311873
3.0%

HADPAP2
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing198942
Missing (%)49.5%
Infinite0
Infinite (%)0.0%
Mean1.128551444
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:57.069220image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6624052407
Coefficient of variation (CV)0.5869517461
Kurtosis87.71307356
Mean1.128551444
Median Absolute Deviation (MAD)0
Skewness8.787212157
Sum229114
Variance0.4387807029
MonotonicityNot monotonic
2022-02-18T23:51:57.225927image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1186665
46.4%
214626
 
3.6%
71164
 
0.3%
9561
 
0.1%
(Missing)198942
49.5%
ValueCountFrequency (%)
1186665
46.4%
214626
 
3.6%
71164
 
0.3%
9561
 
0.1%
ValueCountFrequency (%)
9561
 
0.1%
71164
 
0.3%
214626
 
3.6%
1186665
46.4%

LASTPAP2
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing215438
Missing (%)53.6%
Infinite0
Infinite (%)0.0%
Mean2.954235471
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:57.425181image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.780009871
Coefficient of variation (CV)0.6025280952
Kurtosis-0.9198398626
Mean2.954235471
Median Absolute Deviation (MAD)2
Skewness0.4372496149
Sum551024
Variance3.168435141
MonotonicityNot monotonic
2022-02-18T23:51:57.556997image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
158089
 
14.5%
549910
 
12.4%
234778
 
8.7%
320538
 
5.1%
417034
 
4.2%
75730
 
1.4%
9441
 
0.1%
(Missing)215438
53.6%
ValueCountFrequency (%)
158089
14.5%
234778
8.7%
320538
 
5.1%
417034
 
4.2%
549910
12.4%
ValueCountFrequency (%)
9441
 
0.1%
75730
 
1.4%
549910
12.4%
417034
 
4.2%
320538
5.1%

HPVTEST
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing199388
Missing (%)49.6%
Infinite0
Infinite (%)0.0%
Mean2.949874118
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:57.759885image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q37
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.415771575
Coefficient of variation (CV)0.8189405644
Kurtosis-0.7435568766
Mean2.949874118
Median Absolute Deviation (MAD)1
Skewness1.035539422
Sum597556
Variance5.835952302
MonotonicityNot monotonic
2022-02-18T23:51:57.925473image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
285736
21.3%
165524
 
16.3%
750615
 
12.6%
9695
 
0.2%
(Missing)199388
49.6%
ValueCountFrequency (%)
165524
16.3%
285736
21.3%
750615
12.6%
9695
 
0.2%
ValueCountFrequency (%)
9695
 
0.2%
750615
12.6%
285736
21.3%
165524
16.3%

HPLSTTST
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing336493
Missing (%)83.7%
Infinite0
Infinite (%)0.0%
Mean2.95003437
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:58.139110image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.921984293
Coefficient of variation (CV)0.6515125088
Kurtosis-0.7358168532
Mean2.95003437
Median Absolute Deviation (MAD)1
Skewness0.6388527616
Sum193124
Variance3.694023622
MonotonicityNot monotonic
2022-02-18T23:51:58.329832image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
122004
 
5.5%
513333
 
3.3%
212217
 
3.0%
36937
 
1.7%
45928
 
1.5%
74958
 
1.2%
988
 
< 0.1%
(Missing)336493
83.7%
ValueCountFrequency (%)
122004
5.5%
212217
3.0%
36937
 
1.7%
45928
 
1.5%
513333
3.3%
ValueCountFrequency (%)
988
 
< 0.1%
74958
 
1.2%
513333
3.3%
45928
1.5%
36937
1.7%

HADHYST2
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing201690
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean1.766078455
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:58.470830image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6575296237
Coefficient of variation (CV)0.3723105403
Kurtosis55.00237489
Mean1.766078455
Median Absolute Deviation (MAD)0
Skewness5.15172513
Sum353689
Variance0.432345206
MonotonicityNot monotonic
2022-02-18T23:51:58.682490image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2145397
36.2%
153754
 
13.4%
9661
 
0.2%
7456
 
0.1%
(Missing)201690
50.2%
ValueCountFrequency (%)
153754
 
13.4%
2145397
36.2%
7456
 
0.1%
9661
 
0.2%
ValueCountFrequency (%)
9661
 
0.2%
7456
 
0.1%
2145397
36.2%
153754
 
13.4%

PCPSAAD3
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing275393
Missing (%)68.5%
Infinite0
Infinite (%)0.0%
Mean1.750159997
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:58.913554image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.214166903
Coefficient of variation (CV)0.6937462318
Kurtosis14.96827973
Mean1.750159997
Median Absolute Deviation (MAD)0
Skewness3.656268354
Sum221509
Variance1.474201268
MonotonicityNot monotonic
2022-02-18T23:51:59.138263image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
264276
 
16.0%
157376
 
14.3%
74318
 
1.1%
9595
 
0.1%
(Missing)275393
68.5%
ValueCountFrequency (%)
157376
14.3%
264276
16.0%
74318
 
1.1%
9595
 
0.1%
ValueCountFrequency (%)
9595
 
0.1%
74318
 
1.1%
264276
16.0%
157376
14.3%

PCPSADI1
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing275622
Missing (%)68.6%
Infinite0
Infinite (%)0.0%
Mean2.014192313
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:59.364851image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.174360842
Coefficient of variation (CV)0.5830430565
Kurtosis14.99329688
Mean2.014192313
Median Absolute Deviation (MAD)0
Skewness3.712544692
Sum254465
Variance1.379123388
MonotonicityNot monotonic
2022-02-18T23:51:59.531790image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
294663
 
23.6%
126277
 
6.5%
74851
 
1.2%
9545
 
0.1%
(Missing)275622
68.6%
ValueCountFrequency (%)
126277
 
6.5%
294663
23.6%
74851
 
1.2%
9545
 
0.1%
ValueCountFrequency (%)
9545
 
0.1%
74851
 
1.2%
294663
23.6%
126277
 
6.5%

PCPSARE1
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing275882
Missing (%)68.6%
Infinite0
Infinite (%)0.0%
Mean1.824621657
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:59.676816image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.295949881
Coefficient of variation (CV)0.7102567684
Kurtosis12.34324185
Mean1.824621657
Median Absolute Deviation (MAD)0
Skewness3.398892005
Sum230041
Variance1.679486095
MonotonicityNot monotonic
2022-02-18T23:51:59.805584image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
267225
 
16.7%
152932
 
13.2%
75306
 
1.3%
9613
 
0.2%
(Missing)275882
68.6%
ValueCountFrequency (%)
152932
13.2%
267225
16.7%
75306
 
1.3%
9613
 
0.2%
ValueCountFrequency (%)
9613
 
0.2%
75306
 
1.3%
267225
16.7%
152932
13.2%

PSATEST1
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing276043
Missing (%)68.7%
Infinite0
Infinite (%)0.0%
Mean1.824381527
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:51:59.927350image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.390534433
Coefficient of variation (CV)0.7621949751
Kurtosis9.967309503
Mean1.824381527
Median Absolute Deviation (MAD)1
Skewness3.1508546
Sum229717
Variance1.933586009
MonotonicityNot monotonic
2022-02-18T23:52:00.047647image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
260438
 
15.0%
158425
 
14.5%
76526
 
1.6%
9526
 
0.1%
(Missing)276043
68.7%
ValueCountFrequency (%)
158425
14.5%
260438
15.0%
76526
 
1.6%
9526
 
0.1%
ValueCountFrequency (%)
9526
 
0.1%
76526
 
1.6%
260438
15.0%
158425
14.5%

PSATIME
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing343595
Missing (%)85.5%
Infinite0
Infinite (%)0.0%
Mean2.132138512
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:00.174371image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.642988034
Coefficient of variation (CV)0.7705822228
Kurtosis0.9795707178
Mean2.132138512
Median Absolute Deviation (MAD)0
Skewness1.388176284
Sum124438
Variance2.699409681
MonotonicityNot monotonic
2022-02-18T23:52:00.297470image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
133032
 
8.2%
28859
 
2.2%
56412
 
1.6%
34289
 
1.1%
43926
 
1.0%
71774
 
0.4%
971
 
< 0.1%
(Missing)343595
85.5%
ValueCountFrequency (%)
133032
8.2%
28859
 
2.2%
34289
 
1.1%
43926
 
1.0%
56412
 
1.6%
ValueCountFrequency (%)
971
 
< 0.1%
71774
 
0.4%
56412
1.6%
43926
1.0%
34289
1.1%

PCPSARS1
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing343707
Missing (%)85.5%
Infinite0
Infinite (%)0.0%
Mean1.828123122
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:00.449446image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.483848197
Coefficient of variation (CV)0.8116784798
Kurtosis2.386164953
Mean1.828123122
Median Absolute Deviation (MAD)0
Skewness1.763751099
Sum106490
Variance2.201805471
MonotonicityNot monotonic
2022-02-18T23:52:00.568621image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
140740
 
10.1%
55380
 
1.3%
24468
 
1.1%
43435
 
0.9%
33435
 
0.9%
7634
 
0.2%
9159
 
< 0.1%
(Missing)343707
85.5%
ValueCountFrequency (%)
140740
10.1%
24468
 
1.1%
33435
 
0.9%
43435
 
0.9%
55380
 
1.3%
ValueCountFrequency (%)
9159
 
< 0.1%
7634
 
0.2%
55380
1.3%
43435
0.9%
33435
0.9%

COLNSCPY
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing143403
Missing (%)35.7%
Infinite0
Infinite (%)0.0%
Mean1.339428748
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:00.825262image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7154032187
Coefficient of variation (CV)0.5341106943
Kurtosis51.3072806
Mean1.339428748
Median Absolute Deviation (MAD)0
Skewness5.759802797
Sum346316
Variance0.5118017653
MonotonicityNot monotonic
2022-02-18T23:52:01.065195image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1181481
45.1%
275229
18.7%
71114
 
0.3%
9731
 
0.2%
(Missing)143403
35.7%
ValueCountFrequency (%)
1181481
45.1%
275229
18.7%
71114
 
0.3%
9731
 
0.2%
ValueCountFrequency (%)
9731
 
0.2%
71114
 
0.3%
275229
18.7%
1181481
45.1%

COLNTEST
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing220603
Missing (%)54.9%
Infinite0
Infinite (%)0.0%
Mean2.944115133
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:01.287423image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.324519232
Coefficient of variation (CV)0.4498870364
Kurtosis0.2296267435
Mean2.944115133
Median Absolute Deviation (MAD)1
Skewness0.3598872577
Sum533930
Variance1.754351196
MonotonicityNot monotonic
2022-02-18T23:52:01.484105image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
362505
 
15.6%
435413
 
8.8%
132765
 
8.2%
229096
 
7.2%
518775
 
4.7%
72639
 
0.7%
9162
 
< 0.1%
(Missing)220603
54.9%
ValueCountFrequency (%)
132765
8.2%
229096
7.2%
362505
15.6%
435413
8.8%
518775
 
4.7%
ValueCountFrequency (%)
9162
 
< 0.1%
72639
 
0.7%
518775
 
4.7%
435413
8.8%
362505
15.6%

SIGMSCPY
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing143927
Missing (%)35.8%
Infinite0
Infinite (%)0.0%
Mean2.139304967
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:01.698883image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.209423275
Coefficient of variation (CV)0.5653346734
Kurtosis12.9080608
Mean2.139304967
Median Absolute Deviation (MAD)0
Skewness3.595199576
Sum552007
Variance1.462704658
MonotonicityNot monotonic
2022-02-18T23:52:01.866594image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2212874
53.0%
131908
 
7.9%
712445
 
3.1%
9804
 
0.2%
(Missing)143927
35.8%
ValueCountFrequency (%)
131908
 
7.9%
2212874
53.0%
712445
 
3.1%
9804
 
0.2%
ValueCountFrequency (%)
9804
 
0.2%
712445
 
3.1%
2212874
53.0%
131908
 
7.9%

SIGMTEST
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing370070
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean4.186778726
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:02.054301image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.435841558
Coefficient of variation (CV)0.3429466069
Kurtosis0.1949753463
Mean4.186778726
Median Absolute Deviation (MAD)0
Skewness-0.6708649815
Sum133508
Variance2.061640979
MonotonicityNot monotonic
2022-02-18T23:52:02.225208image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
517250
 
4.3%
34335
 
1.1%
44164
 
1.0%
12493
 
0.6%
22096
 
0.5%
71519
 
0.4%
931
 
< 0.1%
(Missing)370070
92.1%
ValueCountFrequency (%)
12493
 
0.6%
22096
 
0.5%
34335
 
1.1%
44164
 
1.0%
517250
4.3%
ValueCountFrequency (%)
931
 
< 0.1%
71519
 
0.4%
517250
4.3%
44164
 
1.0%
34335
 
1.1%

BLDSTOL1
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing144393
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean1.750152389
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:02.442163image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8156365783
Coefficient of variation (CV)0.4660374626
Kurtosis33.29253274
Mean1.750152389
Median Absolute Deviation (MAD)0
Skewness4.602017317
Sum450778
Variance0.6652630279
MonotonicityNot monotonic
2022-02-18T23:52:02.662825image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2170963
42.5%
183140
20.7%
72723
 
0.7%
9739
 
0.2%
(Missing)144393
35.9%
ValueCountFrequency (%)
183140
20.7%
2170963
42.5%
72723
 
0.7%
9739
 
0.2%
ValueCountFrequency (%)
9739
 
0.2%
72723
 
0.7%
2170963
42.5%
183140
20.7%

LSTBLDS4
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing318862
Missing (%)79.3%
Infinite0
Infinite (%)0.0%
Mean3.21429431
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:02.909631image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.82273935
Coefficient of variation (CV)0.5670729479
Kurtosis-1.22936328
Mean3.21429431
Median Absolute Deviation (MAD)2
Skewness0.1487739184
Sum267095
Variance3.322378738
MonotonicityNot monotonic
2022-02-18T23:52:03.120705image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
527435
 
6.8%
123544
 
5.9%
212127
 
3.0%
48490
 
2.1%
38114
 
2.0%
73327
 
0.8%
959
 
< 0.1%
(Missing)318862
79.3%
ValueCountFrequency (%)
123544
5.9%
212127
3.0%
38114
 
2.0%
48490
 
2.1%
527435
6.8%
ValueCountFrequency (%)
959
 
< 0.1%
73327
 
0.8%
527435
6.8%
48490
 
2.1%
38114
 
2.0%

STOOLDNA
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing144914
Missing (%)36.1%
Infinite0
Infinite (%)0.0%
Mean2.022175192
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:03.406297image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7622581055
Coefficient of variation (CV)0.3769495881
Kurtosis44.45653037
Mean2.022175192
Median Absolute Deviation (MAD)0
Skewness6.155898099
Sum519788
Variance0.5810374194
MonotonicityNot monotonic
2022-02-18T23:52:03.567531image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2234118
58.2%
118406
 
4.6%
73767
 
0.9%
9753
 
0.2%
(Missing)144914
36.1%
ValueCountFrequency (%)
118406
 
4.6%
2234118
58.2%
73767
 
0.9%
9753
 
0.2%
ValueCountFrequency (%)
9753
 
0.2%
73767
 
0.9%
2234118
58.2%
118406
 
4.6%

SDNATEST
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing383572
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean2.828238877
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:03.750143image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.825209178
Coefficient of variation (CV)0.6453518451
Kurtosis-0.8277317106
Mean2.828238877
Median Absolute Deviation (MAD)1
Skewness0.5859053568
Sum52000
Variance3.331388544
MonotonicityNot monotonic
2022-02-18T23:52:03.933629image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
16686
 
1.7%
54187
 
1.0%
23156
 
0.8%
31845
 
0.5%
41698
 
0.4%
7793
 
0.2%
921
 
< 0.1%
(Missing)383572
95.4%
ValueCountFrequency (%)
16686
1.7%
23156
0.8%
31845
 
0.5%
41698
 
0.4%
54187
1.0%
ValueCountFrequency (%)
921
 
< 0.1%
7793
 
0.2%
54187
1.0%
41698
0.4%
31845
0.5%

VIRCOLON
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing145453
Missing (%)36.2%
Infinite0
Infinite (%)0.0%
Mean2.120219879
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:04.074948image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9442185077
Coefficient of variation (CV)0.4453398995
Kurtosis25.95329686
Mean2.120219879
Median Absolute Deviation (MAD)0
Skewness5.034434119
Sum543847
Variance0.8915485903
MonotonicityNot monotonic
2022-02-18T23:52:04.205639image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2237160
59.0%
111238
 
2.8%
77337
 
1.8%
9770
 
0.2%
(Missing)145453
36.2%
ValueCountFrequency (%)
111238
 
2.8%
2237160
59.0%
77337
 
1.8%
9770
 
0.2%
ValueCountFrequency (%)
9770
 
0.2%
77337
 
1.8%
2237160
59.0%
111238
 
2.8%

VCLNTEST
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)0.1%
Missing390737
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean3.653595936
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:04.413292image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.715675018
Coefficient of variation (CV)0.4695853203
Kurtosis-0.8474763709
Mean3.653595936
Median Absolute Deviation (MAD)1
Skewness-0.1184940498
Sum40997
Variance2.943540767
MonotonicityNot monotonic
2022-02-18T23:52:04.636452image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
54170
 
1.0%
11891
 
0.5%
41719
 
0.4%
21485
 
0.4%
31329
 
0.3%
7610
 
0.2%
917
 
< 0.1%
(Missing)390737
97.2%
ValueCountFrequency (%)
11891
0.5%
21485
 
0.4%
31329
 
0.3%
41719
0.4%
54170
1.0%
ValueCountFrequency (%)
917
 
< 0.1%
7610
 
0.2%
54170
1.0%
41719
0.4%
31329
 
0.3%

HIVTST7
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing34037
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean1.941884263
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:04.863546image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.281266252
Coefficient of variation (CV)0.6598056724
Kurtosis10.86709684
Mean1.941884263
Median Absolute Deviation (MAD)0
Skewness3.231876082
Sum714460
Variance1.641643209
MonotonicityNot monotonic
2022-02-18T23:52:05.050348image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2232101
57.7%
1116990
29.1%
718101
 
4.5%
9729
 
0.2%
(Missing)34037
 
8.5%
ValueCountFrequency (%)
1116990
29.1%
2232101
57.7%
718101
 
4.5%
9729
 
0.2%
ValueCountFrequency (%)
9729
 
0.2%
718101
 
4.5%
2232101
57.7%
1116990
29.1%

HIVTSTD3
Real number (ℝ≥0)

MISSING

Distinct474
Distinct (%)0.4%
Missing285136
Missing (%)70.9%
Infinite0
Infinite (%)0.0%
Mean430216.3891
Minimum11985
Maximum999999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:05.351412image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum11985
5-th percentile12020
Q162020
median771990
Q3777777
95-th percentile777777
Maximum999999
Range988014
Interquartile range (IQR)715757

Descriptive statistics

Standard deviation357172.965
Coefficient of variation (CV)0.8302170119
Kurtosis-1.966091199
Mean430216.3891
Median Absolute Deviation (MAD)5787
Skewness-0.05821814688
Sum5.0258739 × 1010
Variance1.275725269 × 1011
MonotonicityNot monotonic
2022-02-18T23:52:05.657710image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77777731565
 
7.9%
7720193112
 
0.8%
7720182558
 
0.6%
7720102098
 
0.5%
120202090
 
0.5%
7720152024
 
0.5%
7720171833
 
0.5%
1020191809
 
0.5%
1120191772
 
0.4%
220201755
 
0.4%
Other values (464)66206
 
16.5%
(Missing)285136
70.9%
ValueCountFrequency (%)
1198532
< 0.1%
1198620
< 0.1%
1198717
< 0.1%
1198814
< 0.1%
1198916
< 0.1%
ValueCountFrequency (%)
999999555
 
0.1%
77777731565
7.9%
7720211
 
< 0.1%
772020726
 
0.2%
7720193112
 
0.8%

HIVRISK5
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing35932
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean1.996349986
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:05.908857image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5317053084
Coefficient of variation (CV)0.2663387242
Kurtosis139.8603768
Mean1.996349986
Median Absolute Deviation (MAD)0
Skewness10.76706754
Sum730716
Variance0.282710535
MonotonicityNot monotonic
2022-02-18T23:52:06.093364image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2349518
87.0%
114527
 
3.6%
91643
 
0.4%
7338
 
0.1%
(Missing)35932
 
8.9%
ValueCountFrequency (%)
114527
 
3.6%
2349518
87.0%
7338
 
0.1%
91643
 
0.4%
ValueCountFrequency (%)
91643
 
0.4%
7338
 
0.1%
2349518
87.0%
114527
 
3.6%

PDIABTST
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing183016
Missing (%)45.5%
Infinite0
Infinite (%)0.0%
Mean1.650395995
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:06.290607image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.17070818
Coefficient of variation (CV)0.7093498669
Kurtosis14.40567343
Mean1.650395995
Median Absolute Deviation (MAD)0
Skewness3.624039904
Sum361341
Variance1.370557642
MonotonicityNot monotonic
2022-02-18T23:52:06.504376image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1117749
29.3%
293039
23.1%
77936
 
2.0%
9218
 
0.1%
(Missing)183016
45.5%
ValueCountFrequency (%)
1117749
29.3%
293039
23.1%
77936
 
2.0%
9218
 
0.1%
ValueCountFrequency (%)
9218
 
0.1%
77936
 
2.0%
293039
23.1%
1117749
29.3%

PREDIAB1
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing182965
Missing (%)45.5%
Infinite0
Infinite (%)0.0%
Mean2.750996607
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:06.715848image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7485521112
Coefficient of variation (CV)0.2721021572
Kurtosis9.220505022
Mean2.750996607
Median Absolute Deviation (MAD)0
Skewness-0.4103212694
Sum602449
Variance0.5603302632
MonotonicityNot monotonic
2022-02-18T23:52:06.945316image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3187174
46.6%
128314
 
7.0%
22462
 
0.6%
7849
 
0.2%
9194
 
< 0.1%
(Missing)182965
45.5%
ValueCountFrequency (%)
128314
 
7.0%
22462
 
0.6%
3187174
46.6%
7849
 
0.2%
9194
 
< 0.1%
ValueCountFrequency (%)
9194
 
< 0.1%
7849
 
0.2%
3187174
46.6%
22462
 
0.6%
128314
 
7.0%

INSULIN1
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing388849
Missing (%)96.7%
Infinite0
Infinite (%)0.0%
Mean1.68777176
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:07.124477image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.561522423
Coefficient of variation (CV)0.3327004494
Kurtosis33.08889182
Mean1.68777176
Median Absolute Deviation (MAD)0
Skewness2.73455041
Sum22125
Variance0.3153074316
MonotonicityNot monotonic
2022-02-18T23:52:08.956158image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
28778
 
2.2%
14294
 
1.1%
729
 
< 0.1%
98
 
< 0.1%
(Missing)388849
96.7%
ValueCountFrequency (%)
14294
1.1%
28778
2.2%
729
 
< 0.1%
98
 
< 0.1%
ValueCountFrequency (%)
98
 
< 0.1%
729
 
< 0.1%
28778
2.2%
14294
1.1%

BLDSUGAR
Real number (ℝ≥0)

MISSING

Distinct72
Distinct (%)0.5%
Missing388850
Missing (%)96.7%
Infinite0
Infinite (%)0.0%
Mean255.454379
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:09.165546image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1101
median103
Q3301
95-th percentile888
Maximum999
Range898
Interquartile range (IQR)200

Descriptive statistics

Standard deviation265.2633008
Coefficient of variation (CV)1.038397939
Kurtosis1.367600571
Mean255.454379
Median Absolute Deviation (MAD)2
Skewness1.719489301
Sum3348496
Variance70364.61873
MonotonicityNot monotonic
2022-02-18T23:52:09.400615image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1013972
 
1.0%
1021857
 
0.5%
8881495
 
0.4%
103976
 
0.2%
201663
 
0.2%
202659
 
0.2%
104549
 
0.1%
203463
 
0.1%
777359
 
0.1%
301353
 
0.1%
Other values (62)1762
 
0.4%
(Missing)388850
96.7%
ValueCountFrequency (%)
1013972
1.0%
1021857
0.5%
103976
 
0.2%
104549
 
0.1%
105127
 
< 0.1%
ValueCountFrequency (%)
99942
 
< 0.1%
8881495
0.4%
777359
 
0.1%
4995
 
< 0.1%
4311
 
< 0.1%

FEETCHK3
Real number (ℝ≥0)

MISSING

Distinct67
Distinct (%)0.5%
Missing388850
Missing (%)96.7%
Infinite0
Infinite (%)0.0%
Mean274.3169057
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:09.577385image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1101
median101
Q3301
95-th percentile888
Maximum999
Range898
Interquartile range (IQR)200

Descriptive statistics

Standard deviation285.5696107
Coefficient of variation (CV)1.041020822
Kurtosis0.5036966242
Mean274.3169057
Median Absolute Deviation (MAD)0
Skewness1.486518193
Sum3595746
Variance81550.00256
MonotonicityNot monotonic
2022-02-18T23:52:09.735534image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1016816
 
1.7%
8881799
 
0.4%
201945
 
0.2%
102576
 
0.1%
301438
 
0.1%
777430
 
0.1%
202351
 
0.1%
203298
 
0.1%
103137
 
< 0.1%
302127
 
< 0.1%
Other values (57)1191
 
0.3%
(Missing)388850
96.7%
ValueCountFrequency (%)
1016816
1.7%
102576
 
0.1%
103137
 
< 0.1%
10436
 
< 0.1%
10525
 
< 0.1%
ValueCountFrequency (%)
99955
 
< 0.1%
8881799
0.4%
777430
 
0.1%
55575
 
< 0.1%
49912
 
< 0.1%

DOCTDIAB
Real number (ℝ≥0)

MISSING

Distinct40
Distinct (%)0.3%
Missing388850
Missing (%)96.7%
Infinite0
Infinite (%)0.0%
Mean15.68690876
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:10.087934image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation29.50853906
Coefficient of variation (CV)1.881093306
Kurtosis1.90730109
Mean15.68690876
Median Absolute Deviation (MAD)1
Skewness1.953673383
Sum205624
Variance870.7538776
MonotonicityNot monotonic
2022-02-18T23:52:10.406289image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
43159
 
0.8%
22977
 
0.7%
12082
 
0.5%
31634
 
0.4%
881454
 
0.4%
77394
 
0.1%
12393
 
0.1%
6347
 
0.1%
5237
 
0.1%
870
 
< 0.1%
Other values (30)361
 
0.1%
(Missing)388850
96.7%
ValueCountFrequency (%)
12082
0.5%
22977
0.7%
31634
0.4%
43159
0.8%
5237
 
0.1%
ValueCountFrequency (%)
9953
 
< 0.1%
881454
0.4%
77394
 
0.1%
7639
 
< 0.1%
604
 
< 0.1%

CHKHEMO3
Real number (ℝ≥0)

MISSING

Distinct37
Distinct (%)0.3%
Missing388850
Missing (%)96.7%
Infinite0
Infinite (%)0.0%
Mean13.25694233
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:10.707119image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation27.43305329
Coefficient of variation (CV)2.06933489
Kurtosis3.192836852
Mean13.25694233
Median Absolute Deviation (MAD)1
Skewness2.252993378
Sum173772
Variance752.5724131
MonotonicityNot monotonic
2022-02-18T23:52:11.062759image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
23616
 
0.9%
43157
 
0.8%
12487
 
0.6%
31551
 
0.4%
88859
 
0.2%
77608
 
0.2%
6186
 
< 0.1%
12162
 
< 0.1%
5147
 
< 0.1%
98117
 
< 0.1%
Other values (27)218
 
0.1%
(Missing)388850
96.7%
ValueCountFrequency (%)
12487
0.6%
23616
0.9%
31551
0.4%
43157
0.8%
5147
 
< 0.1%
ValueCountFrequency (%)
9946
 
< 0.1%
98117
 
< 0.1%
88859
0.2%
77608
0.2%
7625
 
< 0.1%

FEETCHK
Real number (ℝ≥0)

MISSING

Distinct44
Distinct (%)0.3%
Missing388925
Missing (%)96.8%
Infinite0
Infinite (%)0.0%
Mean27.34005985
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:11.426095image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)86

Descriptive statistics

Standard deviation38.23793965
Coefficient of variation (CV)1.398604826
Kurtosis-1.133091242
Mean27.34005985
Median Absolute Deviation (MAD)3
Skewness0.9152712042
Sum356323
Variance1462.140029
MonotonicityNot monotonic
2022-02-18T23:52:11.691076image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
883310
 
0.8%
13027
 
0.8%
22514
 
0.6%
41847
 
0.5%
3975
 
0.2%
77375
 
0.1%
6262
 
0.1%
12249
 
0.1%
5134
 
< 0.1%
856
 
< 0.1%
Other values (34)284
 
0.1%
(Missing)388925
96.8%
ValueCountFrequency (%)
13027
0.8%
22514
0.6%
3975
 
0.2%
41847
0.5%
5134
 
< 0.1%
ValueCountFrequency (%)
9943
 
< 0.1%
883310
0.8%
77375
 
0.1%
7642
 
< 0.1%
741
 
< 0.1%

EYEEXAM1
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)0.1%
Missing388850
Missing (%)96.7%
Infinite0
Infinite (%)0.0%
Mean2.466127556
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:11.975437image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.556052246
Coefficient of variation (CV)0.6309698953
Kurtosis4.76025828
Mean2.466127556
Median Absolute Deviation (MAD)1
Skewness2.085202092
Sum32326
Variance2.421298591
MonotonicityNot monotonic
2022-02-18T23:52:12.125396image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
26149
 
1.5%
12893
 
0.7%
31819
 
0.5%
41519
 
0.4%
8476
 
0.1%
7237
 
0.1%
915
 
< 0.1%
(Missing)388850
96.7%
ValueCountFrequency (%)
12893
0.7%
26149
1.5%
31819
 
0.5%
41519
 
0.4%
7237
 
0.1%
ValueCountFrequency (%)
915
 
< 0.1%
8476
 
0.1%
7237
 
0.1%
41519
0.4%
31819
0.5%

DIABEYE
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing388850
Missing (%)96.7%
Infinite0
Infinite (%)0.0%
Mean1.897314617
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:12.302984image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7565378669
Coefficient of variation (CV)0.3987413896
Kurtosis33.18305306
Mean1.897314617
Median Absolute Deviation (MAD)0
Skewness4.786866433
Sum24870
Variance0.5723495441
MonotonicityNot monotonic
2022-02-18T23:52:12.535313image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
210532
 
2.6%
12374
 
0.6%
7193
 
< 0.1%
99
 
< 0.1%
(Missing)388850
96.7%
ValueCountFrequency (%)
12374
 
0.6%
210532
2.6%
7193
 
< 0.1%
99
 
< 0.1%
ValueCountFrequency (%)
99
 
< 0.1%
7193
 
< 0.1%
210532
2.6%
12374
 
0.6%

DIABEDU
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing388850
Missing (%)96.7%
Infinite0
Infinite (%)0.0%
Mean1.513808361
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:12.771736image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6335222773
Coefficient of variation (CV)0.4184956917
Kurtosis29.92831914
Mean1.513808361
Median Absolute Deviation (MAD)0
Skewness3.42792107
Sum19843
Variance0.4013504758
MonotonicityNot monotonic
2022-02-18T23:52:12.968468image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
16690
 
1.7%
26357
 
1.6%
755
 
< 0.1%
96
 
< 0.1%
(Missing)388850
96.7%
ValueCountFrequency (%)
16690
1.7%
26357
1.6%
755
 
< 0.1%
96
 
< 0.1%
ValueCountFrequency (%)
96
 
< 0.1%
755
 
< 0.1%
26357
1.6%
16690
1.7%

TOLDCFS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing401958
Missing (%)100.0%
Memory size3.1 MiB

HAVECFS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing401958
Missing (%)100.0%
Memory size3.1 MiB

WORKCFS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing401958
Missing (%)100.0%
Memory size3.1 MiB

TOLDHEPC
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing383151
Missing (%)95.3%
Infinite0
Infinite (%)0.0%
Mean2.008454299
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:13.198218image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3723719115
Coefficient of variation (CV)0.1854022328
Kurtosis200.496962
Mean2.008454299
Median Absolute Deviation (MAD)0
Skewness12.99893133
Sum37773
Variance0.1386608405
MonotonicityNot monotonic
2022-02-18T23:52:13.457606image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
218454
 
4.6%
1272
 
0.1%
768
 
< 0.1%
913
 
< 0.1%
(Missing)383151
95.3%
ValueCountFrequency (%)
1272
 
0.1%
218454
4.6%
768
 
< 0.1%
913
 
< 0.1%
ValueCountFrequency (%)
913
 
< 0.1%
768
 
< 0.1%
218454
4.6%
1272
 
0.1%

TRETHEPC
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)1.5%
Missing401687
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1.58302583
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:13.740618image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8207537611
Coefficient of variation (CV)0.5184714901
Kurtosis36.75247664
Mean1.58302583
Median Absolute Deviation (MAD)0
Skewness4.792644518
Sum429
Variance0.6736367364
MonotonicityNot monotonic
2022-02-18T23:52:13.970816image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2138
 
< 0.1%
1130
 
< 0.1%
72
 
< 0.1%
91
 
< 0.1%
(Missing)401687
99.9%
ValueCountFrequency (%)
1130
< 0.1%
2138
< 0.1%
72
 
< 0.1%
91
 
< 0.1%
ValueCountFrequency (%)
91
 
< 0.1%
72
 
< 0.1%
2138
< 0.1%
1130
< 0.1%

PRIRHEPC
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)1.1%
Missing401687
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1.675276753
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:14.203356image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8807075317
Coefficient of variation (CV)0.5257086808
Kurtosis22.4248763
Mean1.675276753
Median Absolute Deviation (MAD)0
Skewness3.961614636
Sum454
Variance0.7756457565
MonotonicityNot monotonic
2022-02-18T23:52:14.373573image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2153
 
< 0.1%
1113
 
< 0.1%
75
 
< 0.1%
(Missing)401687
99.9%
ValueCountFrequency (%)
1113
< 0.1%
2153
< 0.1%
75
 
< 0.1%
ValueCountFrequency (%)
75
 
< 0.1%
2153
< 0.1%
1113
< 0.1%

HAVEHEPC
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)1.5%
Missing401687
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean2.206642066
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:14.571279image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.508528894
Coefficient of variation (CV)0.683630987
Kurtosis7.498435026
Mean2.206642066
Median Absolute Deviation (MAD)0
Skewness2.852814017
Sum598
Variance2.275659423
MonotonicityNot monotonic
2022-02-18T23:52:14.717407image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2197
 
< 0.1%
153
 
< 0.1%
719
 
< 0.1%
92
 
< 0.1%
(Missing)401687
99.9%
ValueCountFrequency (%)
153
 
< 0.1%
2197
< 0.1%
719
 
< 0.1%
92
 
< 0.1%
ValueCountFrequency (%)
92
 
< 0.1%
719
 
< 0.1%
2197
< 0.1%
153
 
< 0.1%

HAVEHEPB
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing383186
Missing (%)95.3%
Infinite0
Infinite (%)0.0%
Mean2.023279352
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:14.902907image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4178140564
Coefficient of variation (CV)0.2065033956
Kurtosis160.4203196
Mean2.023279352
Median Absolute Deviation (MAD)0
Skewness12.17854023
Sum37981
Variance0.1745685857
MonotonicityNot monotonic
2022-02-18T23:52:15.049637image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
218509
 
4.6%
1151
 
< 0.1%
798
 
< 0.1%
914
 
< 0.1%
(Missing)383186
95.3%
ValueCountFrequency (%)
1151
 
< 0.1%
218509
4.6%
798
 
< 0.1%
914
 
< 0.1%
ValueCountFrequency (%)
914
 
< 0.1%
798
 
< 0.1%
218509
4.6%
1151
 
< 0.1%

MEDSHEPB
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)2.0%
Missing401807
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1.986754967
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:15.197292image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum7
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6427726915
Coefficient of variation (CV)0.3235289214
Kurtosis48.75350728
Mean1.986754967
Median Absolute Deviation (MAD)0
Skewness6.117517246
Sum300
Variance0.4131567329
MonotonicityNot monotonic
2022-02-18T23:52:15.349440image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2137
 
< 0.1%
112
 
< 0.1%
72
 
< 0.1%
(Missing)401807
> 99.9%
ValueCountFrequency (%)
112
 
< 0.1%
2137
< 0.1%
72
 
< 0.1%
ValueCountFrequency (%)
72
 
< 0.1%
2137
< 0.1%
112
 
< 0.1%

HLTHCVR1
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)< 0.1%
Missing362563
Missing (%)90.2%
Infinite0
Infinite (%)0.0%
Mean4.46881584
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:15.554729image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q33
95-th percentile7
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation13.31254492
Coefficient of variation (CV)2.978987142
Kurtosis37.57029476
Mean4.46881584
Median Absolute Deviation (MAD)2
Skewness6.196681216
Sum176049
Variance177.2238524
MonotonicityNot monotonic
2022-02-18T23:52:15.770045image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
116305
 
4.1%
313128
 
3.3%
43399
 
0.8%
22697
 
0.7%
51618
 
0.4%
71143
 
0.3%
77515
 
0.1%
99450
 
0.1%
8117
 
< 0.1%
623
 
< 0.1%
(Missing)362563
90.2%
ValueCountFrequency (%)
116305
4.1%
22697
 
0.7%
313128
3.3%
43399
 
0.8%
51618
 
0.4%
ValueCountFrequency (%)
99450
 
0.1%
77515
0.1%
8117
 
< 0.1%
71143
0.3%
623
 
< 0.1%

CIMEMLOS
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing334120
Missing (%)83.1%
Infinite0
Infinite (%)0.0%
Mean1.962454671
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:15.937194image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5922856129
Coefficient of variation (CV)0.3018085572
Kurtosis76.60701114
Mean1.962454671
Median Absolute Deviation (MAD)0
Skewness7.347091267
Sum133129
Variance0.3508022473
MonotonicityNot monotonic
2022-02-18T23:52:16.045183image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
261537
 
15.3%
15729
 
1.4%
7411
 
0.1%
9161
 
< 0.1%
(Missing)334120
83.1%
ValueCountFrequency (%)
15729
 
1.4%
261537
15.3%
7411
 
0.1%
9161
 
< 0.1%
ValueCountFrequency (%)
9161
 
< 0.1%
7411
 
0.1%
261537
15.3%
15729
 
1.4%

CDHOUSE
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)0.1%
Missing395834
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean4.095362508
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:16.163816image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.297638422
Coefficient of variation (CV)0.31685557
Kurtosis0.6224269606
Mean4.095362508
Median Absolute Deviation (MAD)0
Skewness-0.5877493765
Sum25080
Variance1.683865474
MonotonicityNot monotonic
2022-02-18T23:52:16.280890image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
53128
 
0.8%
31264
 
0.3%
4935
 
0.2%
1363
 
0.1%
2307
 
0.1%
7106
 
< 0.1%
921
 
< 0.1%
(Missing)395834
98.5%
ValueCountFrequency (%)
1363
 
0.1%
2307
 
0.1%
31264
0.3%
4935
 
0.2%
53128
0.8%
ValueCountFrequency (%)
921
 
< 0.1%
7106
 
< 0.1%
53128
0.8%
4935
 
0.2%
31264
0.3%

CDASSIST
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)0.1%
Missing395847
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean4.181639666
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:16.403008image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.215312826
Coefficient of variation (CV)0.2906306911
Kurtosis1.000210861
Mean4.181639666
Median Absolute Deviation (MAD)0
Skewness-0.8557371491
Sum25554
Variance1.476985265
MonotonicityNot monotonic
2022-02-18T23:52:16.514957image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
53390
 
0.8%
31099
 
0.3%
4978
 
0.2%
1305
 
0.1%
2263
 
0.1%
760
 
< 0.1%
916
 
< 0.1%
(Missing)395847
98.5%
ValueCountFrequency (%)
1305
 
0.1%
2263
 
0.1%
31099
 
0.3%
4978
 
0.2%
53390
0.8%
ValueCountFrequency (%)
916
 
< 0.1%
760
 
< 0.1%
53390
0.8%
4978
 
0.2%
31099
 
0.3%

CDHELP
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)0.4%
Missing400293
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean2.22042042
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:16.627863image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.302296812
Coefficient of variation (CV)0.5865091133
Kurtosis0.997836533
Mean2.22042042
Median Absolute Deviation (MAD)1
Skewness1.008776136
Sum3697
Variance1.695976987
MonotonicityNot monotonic
2022-02-18T23:52:16.743613image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1673
 
0.2%
3375
 
0.1%
2356
 
0.1%
4142
 
< 0.1%
5110
 
< 0.1%
76
 
< 0.1%
93
 
< 0.1%
(Missing)400293
99.6%
ValueCountFrequency (%)
1673
0.2%
2356
0.1%
3375
0.1%
4142
 
< 0.1%
5110
 
< 0.1%
ValueCountFrequency (%)
93
 
< 0.1%
76
 
< 0.1%
5110
 
< 0.1%
4142
 
< 0.1%
3375
0.1%

CDSOCIAL
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)0.1%
Missing395855
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean4.131246928
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:16.911092image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.334062682
Coefficient of variation (CV)0.3229201027
Kurtosis0.8062661024
Mean4.131246928
Median Absolute Deviation (MAD)0
Skewness-0.7429932444
Sum25213
Variance1.77972324
MonotonicityNot monotonic
2022-02-18T23:52:17.027994image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
53313
 
0.8%
3988
 
0.2%
4950
 
0.2%
1452
 
0.1%
2284
 
0.1%
790
 
< 0.1%
926
 
< 0.1%
(Missing)395855
98.5%
ValueCountFrequency (%)
1452
 
0.1%
2284
 
0.1%
3988
 
0.2%
4950
 
0.2%
53313
0.8%
ValueCountFrequency (%)
926
 
< 0.1%
790
 
< 0.1%
53313
0.8%
4950
 
0.2%
3988
 
0.2%

CDDISCUS
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)0.1%
Missing395865
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean1.612506155
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:17.180163image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7818659423
Coefficient of variation (CV)0.4848762531
Kurtosis30.27139782
Mean1.612506155
Median Absolute Deviation (MAD)0
Skewness4.236183999
Sum9825
Variance0.6113143518
MonotonicityNot monotonic
2022-02-18T23:52:17.348177image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
23302
 
0.8%
12722
 
0.7%
761
 
< 0.1%
98
 
< 0.1%
(Missing)395865
98.5%
ValueCountFrequency (%)
12722
0.7%
23302
0.8%
761
 
< 0.1%
98
 
< 0.1%
ValueCountFrequency (%)
98
 
< 0.1%
761
 
< 0.1%
23302
0.8%
12722
0.7%

CAREGIV1
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing371480
Missing (%)92.4%
Infinite0
Infinite (%)0.0%
Mean1.856191351
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:17.515295image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6879184813
Coefficient of variation (CV)0.3706075243
Kurtosis57.20320517
Mean1.856191351
Median Absolute Deviation (MAD)0
Skewness5.900622317
Sum56573
Variance0.4732318369
MonotonicityNot monotonic
2022-02-18T23:52:17.643412image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
224372
 
6.1%
15863
 
1.5%
9100
 
< 0.1%
778
 
< 0.1%
865
 
< 0.1%
(Missing)371480
92.4%
ValueCountFrequency (%)
15863
 
1.5%
224372
6.1%
778
 
< 0.1%
865
 
< 0.1%
9100
 
< 0.1%
ValueCountFrequency (%)
9100
 
< 0.1%
865
 
< 0.1%
778
 
< 0.1%
224372
6.1%
15863
 
1.5%

CRGVREL4
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)0.3%
Missing396104
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean8.265288691
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:17.813253image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median6
Q312
95-th percentile15
Maximum99
Range98
Interquartile range (IQR)10

Descriptive statistics

Standard deviation11.03233685
Coefficient of variation (CV)1.334779372
Kurtosis46.05010058
Mean8.265288691
Median Absolute Deviation (MAD)5
Skewness6.117910193
Sum48385
Variance121.7124563
MonotonicityNot monotonic
2022-02-18T23:52:17.961555image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
11234
 
0.3%
15920
 
0.2%
6652
 
0.2%
7540
 
0.1%
5478
 
0.1%
14402
 
0.1%
2391
 
0.1%
10241
 
0.1%
11236
 
0.1%
3211
 
0.1%
Other values (7)549
 
0.1%
(Missing)396104
98.5%
ValueCountFrequency (%)
11234
0.3%
2391
 
0.1%
3211
 
0.1%
490
 
< 0.1%
5478
 
0.1%
ValueCountFrequency (%)
9956
 
< 0.1%
7720
 
< 0.1%
15920
0.2%
14402
0.1%
1344
 
< 0.1%

CRGVLNG1
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)0.1%
Missing396112
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean3.488881286
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:18.124233image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.533474631
Coefficient of variation (CV)0.4395319031
Kurtosis-0.3964607707
Mean3.488881286
Median Absolute Deviation (MAD)1
Skewness-0.09348666155
Sum20396
Variance2.351544445
MonotonicityNot monotonic
2022-02-18T23:52:18.242173image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
51863
 
0.5%
41161
 
0.3%
31115
 
0.3%
1904
 
0.2%
2697
 
0.2%
780
 
< 0.1%
926
 
< 0.1%
(Missing)396112
98.5%
ValueCountFrequency (%)
1904
0.2%
2697
 
0.2%
31115
0.3%
41161
0.3%
51863
0.5%
ValueCountFrequency (%)
926
 
< 0.1%
780
 
< 0.1%
51863
0.5%
41161
0.3%
31115
0.3%

CRGVHRS1
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)0.1%
Missing396130
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean2.504975978
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:18.466101image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.833223867
Coefficient of variation (CV)0.7318329131
Kurtosis1.356918959
Mean2.504975978
Median Absolute Deviation (MAD)1
Skewness1.303406412
Sum14599
Variance3.360709747
MonotonicityNot monotonic
2022-02-18T23:52:18.664997image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
12658
 
0.7%
41331
 
0.3%
2776
 
0.2%
3626
 
0.2%
7373
 
0.1%
964
 
< 0.1%
(Missing)396130
98.6%
ValueCountFrequency (%)
12658
0.7%
2776
 
0.2%
3626
 
0.2%
41331
0.3%
7373
 
0.1%
ValueCountFrequency (%)
964
 
< 0.1%
7373
 
0.1%
41331
0.3%
3626
0.2%
2776
0.2%

CRGVPRB3
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)0.3%
Missing396148
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean13.83321859
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:18.819574image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median11
Q315
95-th percentile77
Maximum99
Range98
Interquartile range (IQR)10

Descriptive statistics

Standard deviation18.29205591
Coefficient of variation (CV)1.322328263
Kurtosis13.68365019
Mean13.83321859
Median Absolute Deviation (MAD)4
Skewness3.75599527
Sum80371
Variance334.5993095
MonotonicityNot monotonic
2022-02-18T23:52:18.943377image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
151446
 
0.4%
14771
 
0.2%
5607
 
0.2%
8502
 
0.1%
3476
 
0.1%
13310
 
0.1%
7280
 
0.1%
4256
 
0.1%
10246
 
0.1%
1217
 
0.1%
Other values (7)699
 
0.2%
(Missing)396148
98.6%
ValueCountFrequency (%)
1217
 
0.1%
225
 
< 0.1%
3476
0.1%
4256
0.1%
5607
0.2%
ValueCountFrequency (%)
99166
 
< 0.1%
77131
 
< 0.1%
151446
0.4%
14771
0.2%
13310
 
0.1%

CRGVALZD
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)0.1%
Missing396612
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean2.004676394
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:19.066241image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.070820838
Coefficient of variation (CV)0.5341614443
Kurtosis23.04799743
Mean2.004676394
Median Absolute Deviation (MAD)0
Skewness4.494033089
Sum10717
Variance1.146657267
MonotonicityNot monotonic
2022-02-18T23:52:19.174959image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
24281
 
1.1%
1898
 
0.2%
7123
 
< 0.1%
944
 
< 0.1%
(Missing)396612
98.7%
ValueCountFrequency (%)
1898
 
0.2%
24281
1.1%
7123
 
< 0.1%
944
 
< 0.1%
ValueCountFrequency (%)
944
 
< 0.1%
7123
 
< 0.1%
24281
1.1%
1898
 
0.2%

CRGVPER1
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)0.1%
Missing396163
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean1.545987921
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:19.312757image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7834689837
Coefficient of variation (CV)0.5067756179
Kurtosis42.30070379
Mean1.545987921
Median Absolute Deviation (MAD)0
Skewness5.03884045
Sum8959
Variance0.6138236485
MonotonicityNot monotonic
2022-02-18T23:52:19.437203image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
12926
 
0.7%
22820
 
0.7%
925
 
< 0.1%
724
 
< 0.1%
(Missing)396163
98.6%
ValueCountFrequency (%)
12926
0.7%
22820
0.7%
724
 
< 0.1%
925
 
< 0.1%
ValueCountFrequency (%)
925
 
< 0.1%
724
 
< 0.1%
22820
0.7%
12926
0.7%

CRGVHOU1
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)0.1%
Missing396172
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean1.411337712
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:19.560669image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.30215009
Coefficient of variation (CV)0.9226353686
Kurtosis25.44013106
Mean1.411337712
Median Absolute Deviation (MAD)0
Skewness4.98299478
Sum8166
Variance1.695594857
MonotonicityNot monotonic
2022-02-18T23:52:19.669664image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
14497
 
1.1%
21124
 
0.3%
9133
 
< 0.1%
732
 
< 0.1%
(Missing)396172
98.6%
ValueCountFrequency (%)
14497
1.1%
21124
 
0.3%
732
 
< 0.1%
9133
 
< 0.1%
ValueCountFrequency (%)
9133
 
< 0.1%
732
 
< 0.1%
21124
 
0.3%
14497
1.1%

CRGVEXPT
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing372320
Missing (%)92.6%
Infinite0
Infinite (%)0.0%
Mean2.147513327
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:19.793233image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.467133512
Coefficient of variation (CV)0.6831778378
Kurtosis7.329283039
Mean2.147513327
Median Absolute Deviation (MAD)0
Skewness2.822688007
Sum63648
Variance2.152480741
MonotonicityNot monotonic
2022-02-18T23:52:19.974981image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
220616
 
5.1%
16828
 
1.7%
72079
 
0.5%
9115
 
< 0.1%
(Missing)372320
92.6%
ValueCountFrequency (%)
16828
 
1.7%
220616
5.1%
72079
 
0.5%
9115
 
< 0.1%
ValueCountFrequency (%)
9115
 
< 0.1%
72079
 
0.5%
220616
5.1%
16828
 
1.7%

ECIGARET
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing137397
Missing (%)34.2%
Infinite0
Infinite (%)0.0%
Mean1.824070819
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:20.093767image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5146535536
Coefficient of variation (CV)0.2821455988
Kurtosis69.76497979
Mean1.824070819
Median Absolute Deviation (MAD)0
Skewness4.637634259
Sum482578
Variance0.2648682802
MonotonicityNot monotonic
2022-02-18T23:52:20.198373image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2213059
53.0%
150820
 
12.6%
9433
 
0.1%
7249
 
0.1%
(Missing)137397
34.2%
ValueCountFrequency (%)
150820
 
12.6%
2213059
53.0%
7249
 
0.1%
9433
 
0.1%
ValueCountFrequency (%)
9433
 
0.1%
7249
 
0.1%
2213059
53.0%
150820
 
12.6%

ECIGNOW
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing351208
Missing (%)87.4%
Infinite0
Infinite (%)0.0%
Mean2.727862069
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:20.327456image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6463984476
Coefficient of variation (CV)0.2369615586
Kurtosis9.661168813
Mean2.727862069
Median Absolute Deviation (MAD)0
Skewness-0.808150253
Sum138439
Variance0.417830953
MonotonicityNot monotonic
2022-02-18T23:52:20.523221image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
340787
 
10.1%
25539
 
1.4%
14340
 
1.1%
748
 
< 0.1%
936
 
< 0.1%
(Missing)351208
87.4%
ValueCountFrequency (%)
14340
 
1.1%
25539
 
1.4%
340787
10.1%
748
 
< 0.1%
936
 
< 0.1%
ValueCountFrequency (%)
936
 
< 0.1%
748
 
< 0.1%
340787
10.1%
25539
 
1.4%
14340
 
1.1%

MARIJAN1
Real number (ℝ≥0)

MISSING

Distinct33
Distinct (%)< 0.1%
Missing271339
Missing (%)67.5%
Infinite0
Infinite (%)0.0%
Mean81.70877897
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:20.669351image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.61722766
Coefficient of variation (CV)0.2523257344
Kurtosis7.743997821
Mean81.70877897
Median Absolute Deviation (MAD)0
Skewness-3.059063831
Sum10672719
Variance425.0700764
MonotonicityNot monotonic
2022-02-18T23:52:20.810129image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
88117764
29.3%
304363
 
1.1%
11242
 
0.3%
21142
 
0.3%
77738
 
0.2%
99658
 
0.2%
10634
 
0.2%
20622
 
0.2%
5609
 
0.2%
3609
 
0.2%
Other values (23)2238
 
0.6%
(Missing)271339
67.5%
ValueCountFrequency (%)
11242
0.3%
21142
0.3%
3609
0.2%
4437
 
0.1%
5609
0.2%
ValueCountFrequency (%)
99658
 
0.2%
88117764
29.3%
77738
 
0.2%
304363
 
1.1%
2952
 
< 0.1%

USEMRJN2
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)0.1%
Missing390513
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean1.730624727
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:20.946664image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.46741718
Coefficient of variation (CV)0.8479118304
Kurtosis4.733571105
Mean1.730624727
Median Absolute Deviation (MAD)0
Skewness2.265026265
Sum19807
Variance2.15331318
MonotonicityNot monotonic
2022-02-18T23:52:21.153234image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
18142
 
2.0%
21536
 
0.4%
4810
 
0.2%
6450
 
0.1%
5270
 
0.1%
3117
 
< 0.1%
764
 
< 0.1%
956
 
< 0.1%
(Missing)390513
97.2%
ValueCountFrequency (%)
18142
2.0%
21536
 
0.4%
3117
 
< 0.1%
4810
 
0.2%
5270
 
0.1%
ValueCountFrequency (%)
956
 
< 0.1%
764
 
< 0.1%
6450
0.1%
5270
 
0.1%
4810
0.2%

RSNMRJN1
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing390525
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean2.074258725
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:21.312399image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.011997413
Coefficient of variation (CV)0.4878838887
Kurtosis10.49814657
Mean2.074258725
Median Absolute Deviation (MAD)1
Skewness1.962129369
Sum23715
Variance1.024138763
MonotonicityNot monotonic
2022-02-18T23:52:21.429938image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
33856
 
1.0%
23742
 
0.9%
13713
 
0.9%
774
 
< 0.1%
948
 
< 0.1%
(Missing)390525
97.2%
ValueCountFrequency (%)
13713
0.9%
23742
0.9%
33856
1.0%
774
 
< 0.1%
948
 
< 0.1%
ValueCountFrequency (%)
948
 
< 0.1%
774
 
< 0.1%
33856
1.0%
23742
0.9%
13713
0.9%

LCSFIRST
Real number (ℝ≥0)

MISSING

Distinct65
Distinct (%)0.5%
Missing387914
Missing (%)96.5%
Infinite0
Infinite (%)0.0%
Mean68.81686129
Minimum1
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:21.635675image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12
Q115
median17
Q320
95-th percentile777
Maximum999
Range998
Interquartile range (IQR)5

Descriptive statistics

Standard deviation202.6287027
Coefficient of variation (CV)2.944463012
Kurtosis12.10052111
Mean68.81686129
Median Absolute Deviation (MAD)2
Skewness3.732737942
Sum966464
Variance41058.39115
MonotonicityNot monotonic
2022-02-18T23:52:21.859321image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
182311
 
0.6%
161875
 
0.5%
151454
 
0.4%
171264
 
0.3%
201076
 
0.3%
14930
 
0.2%
19833
 
0.2%
13660
 
0.2%
12495
 
0.1%
21483
 
0.1%
Other values (55)2663
 
0.7%
(Missing)387914
96.5%
ValueCountFrequency (%)
113
< 0.1%
23
 
< 0.1%
32
 
< 0.1%
43
 
< 0.1%
510
< 0.1%
ValueCountFrequency (%)
999126
 
< 0.1%
888404
0.1%
777322
0.1%
771
 
< 0.1%
751
 
< 0.1%

LCSLAST
Real number (ℝ≥0)

MISSING

Distinct92
Distinct (%)0.7%
Missing388332
Missing (%)96.6%
Infinite0
Infinite (%)0.0%
Mean88.31638045
Minimum1
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:22.098690image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20
Q130
median41
Q358
95-th percentile777
Maximum999
Range998
Interquartile range (IQR)28

Descriptive statistics

Standard deviation187.161721
Coefficient of variation (CV)2.119218655
Kurtosis13.06474061
Mean88.31638045
Median Absolute Deviation (MAD)14
Skewness3.820816444
Sum1203399
Variance35029.5098
MonotonicityNot monotonic
2022-02-18T23:52:22.272285image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30683
 
0.2%
777606
 
0.2%
40581
 
0.1%
35534
 
0.1%
50510
 
0.1%
25463
 
0.1%
45346
 
0.1%
60331
 
0.1%
55330
 
0.1%
32322
 
0.1%
Other values (82)8920
 
2.2%
(Missing)388332
96.6%
ValueCountFrequency (%)
11
< 0.1%
21
< 0.1%
51
< 0.1%
72
< 0.1%
81
< 0.1%
ValueCountFrequency (%)
999192
 
< 0.1%
777606
0.2%
1001
 
< 0.1%
993
 
< 0.1%
941
 
< 0.1%

LCSNUMCG
Real number (ℝ≥0)

MISSING

Distinct56
Distinct (%)0.4%
Missing388351
Missing (%)96.6%
Infinite0
Infinite (%)0.0%
Mean50.68332476
Minimum1
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:22.448111image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median15
Q320
95-th percentile60
Maximum999
Range998
Interquartile range (IQR)12

Descriptive statistics

Standard deviation164.7155028
Coefficient of variation (CV)3.249895376
Kurtosis19.02301468
Mean50.68332476
Median Absolute Deviation (MAD)5
Skewness4.530720267
Sum689648
Variance27131.19686
MonotonicityNot monotonic
2022-02-18T23:52:22.625727image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203790
 
0.9%
102722
 
0.7%
5982
 
0.2%
15845
 
0.2%
40666
 
0.2%
30542
 
0.1%
777487
 
0.1%
3472
 
0.1%
4446
 
0.1%
2406
 
0.1%
Other values (46)2249
 
0.6%
(Missing)388351
96.6%
ValueCountFrequency (%)
1335
 
0.1%
2406
0.1%
3472
0.1%
4446
0.1%
5982
0.2%
ValueCountFrequency (%)
999105
 
< 0.1%
777487
0.1%
2201
 
< 0.1%
1901
 
< 0.1%
1252
 
< 0.1%

LCSCTSCN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing370711
Missing (%)92.2%
Infinite0
Infinite (%)0.0%
Mean2.191858418
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:22.809082image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8418198083
Coefficient of variation (CV)0.3840666902
Kurtosis28.59942651
Mean2.191858418
Median Absolute Deviation (MAD)0
Skewness4.61297213
Sum68489
Variance0.7086605896
MonotonicityNot monotonic
2022-02-18T23:52:22.923418image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
224298
 
6.0%
34663
 
1.2%
11722
 
0.4%
7447
 
0.1%
9117
 
< 0.1%
(Missing)370711
92.2%
ValueCountFrequency (%)
11722
 
0.4%
224298
6.0%
34663
 
1.2%
7447
 
0.1%
9117
 
< 0.1%
ValueCountFrequency (%)
9117
 
< 0.1%
7447
 
0.1%
34663
 
1.2%
224298
6.0%
11722
 
0.4%

CNCRDIFF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing378792
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean1.398903566
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:23.043656image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.065332529
Coefficient of variation (CV)0.7615482262
Kurtosis27.97530411
Mean1.398903566
Median Absolute Deviation (MAD)0
Skewness4.858828722
Sum32407
Variance1.134933397
MonotonicityNot monotonic
2022-02-18T23:52:23.178680image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
117563
 
4.4%
24177
 
1.0%
3973
 
0.2%
7253
 
0.1%
9200
 
< 0.1%
(Missing)378792
94.2%
ValueCountFrequency (%)
117563
4.4%
24177
 
1.0%
3973
 
0.2%
7253
 
0.1%
9200
 
< 0.1%
ValueCountFrequency (%)
9200
 
< 0.1%
7253
 
0.1%
3973
 
0.2%
24177
 
1.0%
117563
4.4%

CNCRAGE
Real number (ℝ≥0)

MISSING

Distinct99
Distinct (%)0.4%
Missing379265
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean57.767241
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:23.351491image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile27
Q147
median59
Q369
95-th percentile98
Maximum99
Range98
Interquartile range (IQR)22

Descriptive statistics

Standard deviation18.12011475
Coefficient of variation (CV)0.3136745746
Kurtosis0.2374955147
Mean57.767241
Median Absolute Deviation (MAD)11
Skewness-0.0006676127791
Sum1310912
Variance328.3385584
MonotonicityNot monotonic
2022-02-18T23:52:23.525417image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
601263
 
0.3%
501254
 
0.3%
981142
 
0.3%
651076
 
0.3%
55926
 
0.2%
70924
 
0.2%
40726
 
0.2%
45648
 
0.2%
62607
 
0.2%
58518
 
0.1%
Other values (89)13609
 
3.4%
(Missing)379265
94.4%
ValueCountFrequency (%)
116
< 0.1%
214
< 0.1%
39
< 0.1%
412
< 0.1%
520
< 0.1%
ValueCountFrequency (%)
99120
 
< 0.1%
981142
0.3%
971
 
< 0.1%
965
 
< 0.1%
952
 
< 0.1%

CNCRTYP1
Real number (ℝ≥0)

MISSING

Distinct32
Distinct (%)0.1%
Missing379282
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean19.50092609
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:23.692300image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q110
median21
Q322
95-th percentile30
Maximum99
Range98
Interquartile range (IQR)12

Descriptive statistics

Standard deviation15.62504842
Coefficient of variation (CV)0.8012464816
Kurtosis7.963218977
Mean19.50092609
Median Absolute Deviation (MAD)2
Skewness2.321475171
Sum442203
Variance244.1421381
MonotonicityNot monotonic
2022-02-18T23:52:23.839333image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
227036
 
1.8%
213275
 
0.8%
13063
 
0.8%
191928
 
0.5%
301008
 
0.3%
77903
 
0.2%
10772
 
0.2%
2690
 
0.2%
8471
 
0.1%
24440
 
0.1%
Other values (22)3090
 
0.8%
(Missing)379282
94.4%
ValueCountFrequency (%)
13063
0.8%
2690
 
0.2%
3432
 
0.1%
4292
 
0.1%
579
 
< 0.1%
ValueCountFrequency (%)
99111
 
< 0.1%
77903
0.2%
301008
0.3%
298
 
< 0.1%
2862
 
< 0.1%

CSRVTRT3
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing377950
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean2.854548484
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:23.968094image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.633036737
Coefficient of variation (CV)0.5720823263
Kurtosis0.7286752187
Mean2.854548484
Median Absolute Deviation (MAD)0
Skewness1.132047781
Sum68532
Variance2.666808985
MonotonicityNot monotonic
2022-02-18T23:52:24.088061image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
213589
 
3.4%
55962
 
1.5%
12824
 
0.7%
4837
 
0.2%
7368
 
0.1%
9252
 
0.1%
3176
 
< 0.1%
(Missing)377950
94.0%
ValueCountFrequency (%)
12824
 
0.7%
213589
3.4%
3176
 
< 0.1%
4837
 
0.2%
55962
1.5%
ValueCountFrequency (%)
9252
 
0.1%
7368
 
0.1%
55962
1.5%
4837
 
0.2%
3176
 
< 0.1%

CSRVDOC1
Real number (ℝ≥0)

MISSING

Distinct12
Distinct (%)0.1%
Missing388388
Missing (%)96.6%
Infinite0
Infinite (%)0.0%
Mean6.743994105
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:24.218647image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median5
Q35
95-th percentile10
Maximum99
Range98
Interquartile range (IQR)3

Descriptive statistics

Standard deviation13.66630258
Coefficient of variation (CV)2.02644047
Kurtosis24.84798419
Mean6.743994105
Median Absolute Deviation (MAD)3
Skewness5.03230304
Sum91516
Variance186.7678263
MonotonicityNot monotonic
2022-02-18T23:52:24.375209image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
25736
 
1.4%
53726
 
0.9%
101609
 
0.4%
7555
 
0.1%
1456
 
0.1%
77389
 
0.1%
4311
 
0.1%
9277
 
0.1%
3254
 
0.1%
8123
 
< 0.1%
Other values (2)134
 
< 0.1%
(Missing)388388
96.6%
ValueCountFrequency (%)
1456
 
0.1%
25736
1.4%
3254
 
0.1%
4311
 
0.1%
53726
0.9%
ValueCountFrequency (%)
9951
 
< 0.1%
77389
 
0.1%
101609
0.4%
9277
 
0.1%
8123
 
< 0.1%

CSRVSUM
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing388401
Missing (%)96.6%
Infinite0
Infinite (%)0.0%
Mean1.947923582
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:24.495972image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.535102069
Coefficient of variation (CV)0.7880709918
Kurtosis6.522305091
Mean1.947923582
Median Absolute Deviation (MAD)1
Skewness2.698295025
Sum26408
Variance2.356538363
MonotonicityNot monotonic
2022-02-18T23:52:24.647036image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
26679
 
1.7%
15858
 
1.5%
7994
 
0.2%
926
 
< 0.1%
(Missing)388401
96.6%
ValueCountFrequency (%)
15858
1.5%
26679
1.7%
7994
 
0.2%
926
 
< 0.1%
ValueCountFrequency (%)
926
 
< 0.1%
7994
 
0.2%
26679
1.7%
15858
1.5%

CSRVRTRN
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing388422
Missing (%)96.6%
Infinite0
Infinite (%)0.0%
Mean1.388888889
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:24.761466image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.023581899
Coefficient of variation (CV)0.736978967
Kurtosis26.40618178
Mean1.388888889
Median Absolute Deviation (MAD)0
Skewness4.834202055
Sum18800
Variance1.047719903
MonotonicityNot monotonic
2022-02-18T23:52:24.873104image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
19985
 
2.5%
23228
 
0.8%
7274
 
0.1%
949
 
< 0.1%
(Missing)388422
96.6%
ValueCountFrequency (%)
19985
2.5%
23228
 
0.8%
7274
 
0.1%
949
 
< 0.1%
ValueCountFrequency (%)
949
 
< 0.1%
7274
 
0.1%
23228
 
0.8%
19985
2.5%

CSRVINST
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing391979
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean1.61669506
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:24.984387image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.55904883
Coefficient of variation (CV)0.9643431644
Kurtosis7.636013708
Mean1.61669506
Median Absolute Deviation (MAD)0
Skewness2.994663578
Sum16133
Variance2.430633253
MonotonicityNot monotonic
2022-02-18T23:52:25.086178image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
17453
 
1.9%
21804
 
0.4%
7713
 
0.2%
99
 
< 0.1%
(Missing)391979
97.5%
ValueCountFrequency (%)
17453
1.9%
21804
 
0.4%
7713
 
0.2%
99
 
< 0.1%
ValueCountFrequency (%)
99
 
< 0.1%
7713
 
0.2%
21804
 
0.4%
17453
1.9%

CSRVINSR
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing388442
Missing (%)96.6%
Infinite0
Infinite (%)0.0%
Mean1.132657591
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:25.207800image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7815456071
Coefficient of variation (CV)0.6900104792
Kurtosis60.81912198
Mean1.132657591
Median Absolute Deviation (MAD)0
Skewness7.641841241
Sum15309
Variance0.610813536
MonotonicityNot monotonic
2022-02-18T23:52:25.311830image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
112758
 
3.2%
2565
 
0.1%
7158
 
< 0.1%
935
 
< 0.1%
(Missing)388442
96.6%
ValueCountFrequency (%)
112758
3.2%
2565
 
0.1%
7158
 
< 0.1%
935
 
< 0.1%
ValueCountFrequency (%)
935
 
< 0.1%
7158
 
< 0.1%
2565
 
0.1%
112758
3.2%

CSRVDEIN
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing388451
Missing (%)96.6%
Infinite0
Infinite (%)0.0%
Mean1.982379507
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:25.435534image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5199846165
Coefficient of variation (CV)0.2623032647
Kurtosis99.82832511
Mean1.982379507
Median Absolute Deviation (MAD)0
Skewness8.53423429
Sum26776
Variance0.2703840014
MonotonicityNot monotonic
2022-02-18T23:52:25.539456image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
212659
 
3.1%
1754
 
0.2%
771
 
< 0.1%
923
 
< 0.1%
(Missing)388451
96.6%
ValueCountFrequency (%)
1754
 
0.2%
212659
3.1%
771
 
< 0.1%
923
 
< 0.1%
ValueCountFrequency (%)
923
 
< 0.1%
771
 
< 0.1%
212659
3.1%
1754
 
0.2%

CSRVCLIN
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing388459
Missing (%)96.6%
Infinite0
Infinite (%)0.0%
Mean2.030965257
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:25.659649image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6926073086
Coefficient of variation (CV)0.3410237109
Kurtosis50.70846173
Mean2.030965257
Median Absolute Deviation (MAD)0
Skewness6.644078314
Sum27416
Variance0.4797048839
MonotonicityNot monotonic
2022-02-18T23:52:25.761884image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
212603
 
3.1%
1684
 
0.2%
7191
 
< 0.1%
921
 
< 0.1%
(Missing)388459
96.6%
ValueCountFrequency (%)
1684
 
0.2%
212603
3.1%
7191
 
< 0.1%
921
 
< 0.1%
ValueCountFrequency (%)
921
 
< 0.1%
7191
 
< 0.1%
212603
3.1%
1684
 
0.2%

CSRVPAIN
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing379939
Missing (%)94.5%
Infinite0
Infinite (%)0.0%
Mean2.033970662
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:25.883015image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9206552271
Coefficient of variation (CV)0.4526393838
Kurtosis42.9468191
Mean2.033970662
Median Absolute Deviation (MAD)0
Skewness6.224658724
Sum44786
Variance0.8476060471
MonotonicityNot monotonic
2022-02-18T23:52:25.985139image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
219747
 
4.9%
11859
 
0.5%
9271
 
0.1%
7142
 
< 0.1%
(Missing)379939
94.5%
ValueCountFrequency (%)
11859
 
0.5%
219747
4.9%
7142
 
< 0.1%
9271
 
0.1%
ValueCountFrequency (%)
9271
 
0.1%
7142
 
< 0.1%
219747
4.9%
11859
 
0.5%

CSRVCTL2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)0.3%
Missing400105
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.178089584
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:26.097391image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.482662663
Coefficient of variation (CV)0.6807170255
Kurtosis4.572961832
Mean2.178089584
Median Absolute Deviation (MAD)1
Skewness1.939120168
Sum4036
Variance2.198288573
MonotonicityNot monotonic
2022-02-18T23:52:26.207062image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1742
 
0.2%
2621
 
0.2%
4254
 
0.1%
3161
 
< 0.1%
761
 
< 0.1%
914
 
< 0.1%
(Missing)400105
99.5%
ValueCountFrequency (%)
1742
0.2%
2621
0.2%
3161
 
< 0.1%
4254
 
0.1%
761
 
< 0.1%
ValueCountFrequency (%)
914
 
< 0.1%
761
 
< 0.1%
4254
0.1%
3161
 
< 0.1%
2621
0.2%

PCPSADE1
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.3%
Missing400117
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.151548072
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:26.344099image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.122574218
Coefficient of variation (CV)0.5217518643
Kurtosis12.9382753
Mean2.151548072
Median Absolute Deviation (MAD)1
Skewness2.546973857
Sum3961
Variance1.260172874
MonotonicityNot monotonic
2022-02-18T23:52:26.493015image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2782
 
0.2%
1507
 
0.1%
3418
 
0.1%
4114
 
< 0.1%
920
 
< 0.1%
(Missing)400117
99.5%
ValueCountFrequency (%)
1507
0.1%
2782
0.2%
3418
0.1%
4114
 
< 0.1%
920
 
< 0.1%
ValueCountFrequency (%)
920
 
< 0.1%
4114
 
< 0.1%
3418
0.1%
2782
0.2%
1507
0.1%

PCDMDEC1
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.2%
Missing401540
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1.169856459
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:26.634701image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum7
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5854760743
Coefficient of variation (CV)0.5004683007
Kurtosis49.28168603
Mean1.169856459
Median Absolute Deviation (MAD)0
Skewness6.004655849
Sum489
Variance0.3427822335
MonotonicityNot monotonic
2022-02-18T23:52:26.757484image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1367
 
0.1%
241
 
< 0.1%
36
 
< 0.1%
42
 
< 0.1%
72
 
< 0.1%
(Missing)401540
99.9%
ValueCountFrequency (%)
1367
0.1%
241
 
< 0.1%
36
 
< 0.1%
42
 
< 0.1%
72
 
< 0.1%
ValueCountFrequency (%)
72
 
< 0.1%
42
 
< 0.1%
36
 
< 0.1%
241
 
< 0.1%
1367
0.1%

HPVADVC4
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing386846
Missing (%)96.2%
Infinite0
Infinite (%)0.0%
Mean2.436275807
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:26.867482image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.770474423
Coefficient of variation (CV)0.7267134608
Kurtosis2.908174317
Mean2.436275807
Median Absolute Deviation (MAD)0
Skewness2.090384069
Sum36817
Variance3.134579684
MonotonicityNot monotonic
2022-02-18T23:52:26.973339image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
210469
 
2.6%
12784
 
0.7%
71818
 
0.5%
941
 
< 0.1%
(Missing)386846
96.2%
ValueCountFrequency (%)
12784
 
0.7%
210469
2.6%
71818
 
0.5%
941
 
< 0.1%
ValueCountFrequency (%)
941
 
< 0.1%
71818
 
0.5%
210469
2.6%
12784
 
0.7%

HPVADSHT
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.2%
Missing399179
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean21.00935588
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:27.098720image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile77
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation32.27552905
Coefficient of variation (CV)1.536245529
Kurtosis-0.6299116061
Mean21.00935588
Median Absolute Deviation (MAD)1
Skewness1.167172164
Sum58385
Variance1041.709776
MonotonicityNot monotonic
2022-02-18T23:52:27.213285image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
31340
 
0.3%
77686
 
0.2%
2398
 
0.1%
1351
 
0.1%
994
 
< 0.1%
(Missing)399179
99.3%
ValueCountFrequency (%)
1351
 
0.1%
2398
 
0.1%
31340
0.3%
77686
0.2%
994
 
< 0.1%
ValueCountFrequency (%)
994
 
< 0.1%
77686
0.2%
31340
0.3%
2398
 
0.1%
1351
 
0.1%

TETANUS1
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)0.1%
Missing394003
Missing (%)98.0%
Infinite0
Infinite (%)0.0%
Mean3.003394092
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:27.406145image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.6828241
Coefficient of variation (CV)0.5603074551
Kurtosis0.5114307688
Mean3.003394092
Median Absolute Deviation (MAD)1
Skewness0.8013432032
Sum23892
Variance2.831896952
MonotonicityNot monotonic
2022-02-18T23:52:27.543087image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
32450
 
0.6%
12115
 
0.5%
42063
 
0.5%
7693
 
0.2%
2626
 
0.2%
98
 
< 0.1%
(Missing)394003
98.0%
ValueCountFrequency (%)
12115
0.5%
2626
 
0.2%
32450
0.6%
42063
0.5%
7693
 
0.2%
ValueCountFrequency (%)
98
 
< 0.1%
7693
 
0.2%
42063
0.5%
32450
0.6%
2626
 
0.2%

IMFVPLA1
Real number (ℝ≥0)

MISSING

Distinct12
Distinct (%)0.2%
Missing394375
Missing (%)98.1%
Infinite0
Infinite (%)0.0%
Mean4.250560464
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:27.696218image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median5
Q35
95-th percentile8
Maximum99
Range98
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.236501489
Coefficient of variation (CV)1.467218627
Kurtosis138.2614502
Mean4.250560464
Median Absolute Deviation (MAD)3
Skewness10.69140954
Sum32232
Variance38.89395082
MonotonicityNot monotonic
2022-02-18T23:52:27.824730image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
12774
 
0.7%
52684
 
0.7%
8774
 
0.2%
3465
 
0.1%
6349
 
0.1%
9210
 
0.1%
2159
 
< 0.1%
467
 
< 0.1%
1156
 
< 0.1%
7729
 
< 0.1%
Other values (2)16
 
< 0.1%
(Missing)394375
98.1%
ValueCountFrequency (%)
12774
0.7%
2159
 
< 0.1%
3465
 
0.1%
467
 
< 0.1%
52684
0.7%
ValueCountFrequency (%)
9910
 
< 0.1%
7729
 
< 0.1%
1156
 
< 0.1%
9210
 
0.1%
8774
0.2%

BIRTHSEX
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing300719
Missing (%)74.8%
Infinite0
Infinite (%)0.0%
Mean1.562540128
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:27.935470image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.632865975
Coefficient of variation (CV)0.4050238223
Kurtosis45.16002824
Mean1.562540128
Median Absolute Deviation (MAD)0
Skewness4.092838679
Sum158190
Variance0.4005193423
MonotonicityNot monotonic
2022-02-18T23:52:28.089590image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
254541
 
13.6%
146371
 
11.5%
9224
 
0.1%
7103
 
< 0.1%
(Missing)300719
74.8%
ValueCountFrequency (%)
146371
11.5%
254541
13.6%
7103
 
< 0.1%
9224
 
0.1%
ValueCountFrequency (%)
9224
 
0.1%
7103
 
< 0.1%
254541
13.6%
146371
11.5%

SOMALE
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing291919
Missing (%)72.6%
Infinite0
Infinite (%)0.0%
Mean2.198693191
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:28.210176image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.095727855
Coefficient of variation (CV)0.4983541404
Kurtosis28.47013853
Mean2.198693191
Median Absolute Deviation (MAD)0
Skewness5.303209029
Sum241942
Variance1.200619532
MonotonicityNot monotonic
2022-02-18T23:52:28.319117image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2101417
 
25.2%
12320
 
0.6%
92077
 
0.5%
31775
 
0.4%
41460
 
0.4%
7990
 
0.2%
(Missing)291919
72.6%
ValueCountFrequency (%)
12320
 
0.6%
2101417
25.2%
31775
 
0.4%
41460
 
0.4%
7990
 
0.2%
ValueCountFrequency (%)
92077
 
0.5%
7990
 
0.2%
41460
 
0.4%
31775
 
0.4%
2101417
25.2%

SOFEMALE
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing271880
Missing (%)67.6%
Infinite0
Infinite (%)0.0%
Mean2.27349744
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:28.444073image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.214402346
Coefficient of variation (CV)0.5341560209
Kurtosis21.30764852
Mean2.27349744
Median Absolute Deviation (MAD)0
Skewness4.648599947
Sum295732
Variance1.474773058
MonotonicityNot monotonic
2022-02-18T23:52:28.552507image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2117865
29.3%
33889
 
1.0%
92892
 
0.7%
41885
 
0.5%
71870
 
0.5%
11677
 
0.4%
(Missing)271880
67.6%
ValueCountFrequency (%)
11677
 
0.4%
2117865
29.3%
33889
 
1.0%
41885
 
0.5%
71870
 
0.5%
ValueCountFrequency (%)
92892
 
0.7%
71870
 
0.5%
41885
 
0.5%
33889
 
1.0%
2117865
29.3%

TRNSGNDR
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing161936
Missing (%)40.3%
Infinite0
Infinite (%)0.0%
Mean4.04890385
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:28.672591image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q14
median4
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.534914159
Coefficient of variation (CV)0.1321133272
Kurtosis71.29664239
Mean4.04890385
Median Absolute Deviation (MAD)0
Skewness7.673893672
Sum971826
Variance0.2861331575
MonotonicityNot monotonic
2022-02-18T23:52:28.778573image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4235887
58.7%
92256
 
0.6%
7862
 
0.2%
1372
 
0.1%
2367
 
0.1%
3278
 
0.1%
(Missing)161936
40.3%
ValueCountFrequency (%)
1372
 
0.1%
2367
 
0.1%
3278
 
0.1%
4235887
58.7%
7862
 
0.2%
ValueCountFrequency (%)
92256
 
0.6%
7862
 
0.2%
4235887
58.7%
3278
 
0.1%
2367
 
0.1%

ACEDEPRS
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing272572
Missing (%)67.8%
Infinite0
Infinite (%)0.0%
Mean1.965320823
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:28.890148image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9762547533
Coefficient of variation (CV)0.4967406552
Kurtosis35.81598443
Mean1.965320823
Median Absolute Deviation (MAD)0
Skewness5.508562396
Sum254285
Variance0.9530733434
MonotonicityNot monotonic
2022-02-18T23:52:29.000097image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2106213
 
26.4%
120591
 
5.1%
91597
 
0.4%
7985
 
0.2%
(Missing)272572
67.8%
ValueCountFrequency (%)
120591
 
5.1%
2106213
26.4%
7985
 
0.2%
91597
 
0.4%
ValueCountFrequency (%)
91597
 
0.4%
7985
 
0.2%
2106213
26.4%
120591
 
5.1%

ACEDRINK
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing272753
Missing (%)67.9%
Infinite0
Infinite (%)0.0%
Mean1.879083627
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:29.126894image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9248399669
Coefficient of variation (CV)0.4921760552
Kurtosis40.9872607
Mean1.879083627
Median Absolute Deviation (MAD)0
Skewness5.665336398
Sum242787
Variance0.8553289643
MonotonicityNot monotonic
2022-02-18T23:52:29.228490image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
299004
 
24.6%
128269
 
7.0%
91493
 
0.4%
7439
 
0.1%
(Missing)272753
67.9%
ValueCountFrequency (%)
128269
 
7.0%
299004
24.6%
7439
 
0.1%
91493
 
0.4%
ValueCountFrequency (%)
91493
 
0.4%
7439
 
0.1%
299004
24.6%
128269
 
7.0%

ACEDRUGS
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing272819
Missing (%)67.9%
Infinite0
Infinite (%)0.0%
Mean2.003151643
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:29.348240image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8563783048
Coefficient of variation (CV)0.4275154644
Kurtosis50.59578496
Mean2.003151643
Median Absolute Deviation (MAD)0
Skewness6.626615636
Sum258685
Variance0.7333838009
MonotonicityNot monotonic
2022-02-18T23:52:29.457963image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2115022
28.6%
112165
 
3.0%
91406
 
0.3%
7546
 
0.1%
(Missing)272819
67.9%
ValueCountFrequency (%)
112165
 
3.0%
2115022
28.6%
7546
 
0.1%
91406
 
0.3%
ValueCountFrequency (%)
91406
 
0.3%
7546
 
0.1%
2115022
28.6%
112165
 
3.0%

ACEPRISN
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing272878
Missing (%)67.9%
Infinite0
Infinite (%)0.0%
Mean2.014533623
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:29.577922image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8125973768
Coefficient of variation (CV)0.4033674929
Kurtosis59.7378899
Mean2.014533623
Median Absolute Deviation (MAD)0
Skewness7.279583391
Sum260036
Variance0.6603144967
MonotonicityNot monotonic
2022-02-18T23:52:29.684850image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2118028
29.4%
19366
 
2.3%
91406
 
0.3%
7280
 
0.1%
(Missing)272878
67.9%
ValueCountFrequency (%)
19366
 
2.3%
2118028
29.4%
7280
 
0.1%
91406
 
0.3%
ValueCountFrequency (%)
91406
 
0.3%
7280
 
0.1%
2118028
29.4%
19366
 
2.3%

ACEDIVRC
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing272915
Missing (%)67.9%
Infinite0
Infinite (%)0.0%
Mean1.935385879
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:29.805365image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.189403573
Coefficient of variation (CV)0.6145562938
Kurtosis22.21019342
Mean1.935385879
Median Absolute Deviation (MAD)0
Skewness4.45568394
Sum249748
Variance1.414680859
MonotonicityNot monotonic
2022-02-18T23:52:29.907482image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
292974
 
23.1%
132233
 
8.0%
81621
 
0.4%
91547
 
0.4%
7668
 
0.2%
(Missing)272915
67.9%
ValueCountFrequency (%)
132233
 
8.0%
292974
23.1%
7668
 
0.2%
81621
 
0.4%
91547
 
0.4%
ValueCountFrequency (%)
91547
 
0.4%
81621
 
0.4%
7668
 
0.2%
292974
23.1%
132233
 
8.0%

ACEPUNCH
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing272990
Missing (%)67.9%
Infinite0
Infinite (%)0.0%
Mean1.46891477
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:30.036290image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.334521226
Coefficient of variation (CV)0.908508277
Kurtosis17.68552043
Mean1.46891477
Median Absolute Deviation (MAD)0
Skewness4.010595126
Sum189443
Variance1.780946904
MonotonicityNot monotonic
2022-02-18T23:52:30.142062image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1106023
 
26.4%
314299
 
3.6%
24845
 
1.2%
92113
 
0.5%
71688
 
0.4%
(Missing)272990
67.9%
ValueCountFrequency (%)
1106023
26.4%
24845
 
1.2%
314299
 
3.6%
71688
 
0.4%
92113
 
0.5%
ValueCountFrequency (%)
92113
 
0.5%
71688
 
0.4%
314299
 
3.6%
24845
 
1.2%
1106023
26.4%

ACEHURT1
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing273103
Missing (%)67.9%
Infinite0
Infinite (%)0.0%
Mean1.551185441
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:30.260630image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.312603496
Coefficient of variation (CV)0.8461937955
Kurtosis17.24194504
Mean1.551185441
Median Absolute Deviation (MAD)0
Skewness3.789630517
Sum199878
Variance1.722927937
MonotonicityNot monotonic
2022-02-18T23:52:30.410300image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
197844
 
24.3%
320441
 
5.1%
27565
 
1.9%
92273
 
0.6%
7732
 
0.2%
(Missing)273103
67.9%
ValueCountFrequency (%)
197844
24.3%
27565
 
1.9%
320441
 
5.1%
7732
 
0.2%
92273
 
0.6%
ValueCountFrequency (%)
92273
 
0.6%
7732
 
0.2%
320441
 
5.1%
27565
 
1.9%
197844
24.3%

ACESWEAR
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing273191
Missing (%)68.0%
Infinite0
Infinite (%)0.0%
Mean1.771424356
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:30.529487image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.40951977
Coefficient of variation (CV)0.7956985379
Kurtosis11.26407043
Mean1.771424356
Median Absolute Deviation (MAD)0
Skewness2.954405542
Sum228101
Variance1.986745982
MonotonicityNot monotonic
2022-02-18T23:52:30.631160image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
185184
 
21.2%
333183
 
8.3%
26782
 
1.7%
92239
 
0.6%
71379
 
0.3%
(Missing)273191
68.0%
ValueCountFrequency (%)
185184
21.2%
26782
 
1.7%
333183
 
8.3%
71379
 
0.3%
92239
 
0.6%
ValueCountFrequency (%)
92239
 
0.6%
71379
 
0.3%
333183
 
8.3%
26782
 
1.7%
185184
21.2%

ACETOUCH
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing273271
Missing (%)68.0%
Infinite0
Infinite (%)0.0%
Mean1.359593432
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:30.747342image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.270107577
Coefficient of variation (CV)0.9341819013
Kurtosis25.34133995
Mean1.359593432
Median Absolute Deviation (MAD)0
Skewness4.88321645
Sum174962
Variance1.613173258
MonotonicityNot monotonic
2022-02-18T23:52:30.849716image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1111805
27.8%
38861
 
2.2%
24973
 
1.2%
92646
 
0.7%
7402
 
0.1%
(Missing)273271
68.0%
ValueCountFrequency (%)
1111805
27.8%
24973
 
1.2%
38861
 
2.2%
7402
 
0.1%
92646
 
0.7%
ValueCountFrequency (%)
92646
 
0.7%
7402
 
0.1%
38861
 
2.2%
24973
 
1.2%
1111805
27.8%

ACETTHEM
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing273360
Missing (%)68.0%
Infinite0
Infinite (%)0.0%
Mean1.303939408
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:30.968686image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.230043695
Coefficient of variation (CV)0.9433288748
Kurtosis28.83725828
Mean1.303939408
Median Absolute Deviation (MAD)0
Skewness5.270578884
Sum167684
Variance1.513007491
MonotonicityNot monotonic
2022-02-18T23:52:31.081776image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1115724
28.8%
36294
 
1.6%
23604
 
0.9%
92519
 
0.6%
7457
 
0.1%
(Missing)273360
68.0%
ValueCountFrequency (%)
1115724
28.8%
23604
 
0.9%
36294
 
1.6%
7457
 
0.1%
92519
 
0.6%
ValueCountFrequency (%)
92519
 
0.6%
7457
 
0.1%
36294
 
1.6%
23604
 
0.9%
1115724
28.8%

ACEHVSEX
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing273459
Missing (%)68.0%
Infinite0
Infinite (%)0.0%
Mean1.250476657
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:31.196286image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.19912755
Coefficient of variation (CV)0.9589363724
Kurtosis33.07967308
Mean1.250476657
Median Absolute Deviation (MAD)0
Skewness5.729205396
Sum160685
Variance1.43790688
MonotonicityNot monotonic
2022-02-18T23:52:31.307595image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1119727
29.8%
33843
 
1.0%
92538
 
0.6%
22030
 
0.5%
7361
 
0.1%
(Missing)273459
68.0%
ValueCountFrequency (%)
1119727
29.8%
22030
 
0.5%
33843
 
1.0%
7361
 
0.1%
92538
 
0.6%
ValueCountFrequency (%)
92538
 
0.6%
7361
 
0.1%
33843
 
1.0%
22030
 
0.5%
1119727
29.8%

RCSGENDR
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing346998
Missing (%)86.3%
Infinite0
Infinite (%)0.0%
Mean1.915775109
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:31.432971image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.8213638
Coefficient of variation (CV)0.9507190019
Kurtosis10.27508242
Mean1.915775109
Median Absolute Deviation (MAD)1
Skewness3.342649114
Sum105291
Variance3.317366091
MonotonicityNot monotonic
2022-02-18T23:52:31.535753image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
126889
 
6.7%
224891
 
6.2%
93180
 
0.8%
(Missing)346998
86.3%
ValueCountFrequency (%)
126889
6.7%
224891
6.2%
93180
 
0.8%
ValueCountFrequency (%)
93180
 
0.8%
224891
6.2%
126889
6.7%

RCSRLTN2
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing347440
Missing (%)86.4%
Infinite0
Infinite (%)0.0%
Mean1.744176235
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:31.728960image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.787370146
Coefficient of variation (CV)1.024764648
Kurtosis7.718523974
Mean1.744176235
Median Absolute Deviation (MAD)0
Skewness2.841838625
Sum95089
Variance3.19469204
MonotonicityNot monotonic
2022-02-18T23:52:31.859529image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
142005
 
10.5%
24697
 
1.2%
42776
 
0.7%
91940
 
0.5%
51409
 
0.4%
6952
 
0.2%
3701
 
0.2%
738
 
< 0.1%
(Missing)347440
86.4%
ValueCountFrequency (%)
142005
10.5%
24697
 
1.2%
3701
 
0.2%
42776
 
0.7%
51409
 
0.4%
ValueCountFrequency (%)
91940
0.5%
738
 
< 0.1%
6952
 
0.2%
51409
0.4%
42776
0.7%

CASTHDX2
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing352527
Missing (%)87.7%
Infinite0
Infinite (%)0.0%
Mean2.196010601
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:31.986190image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.454717074
Coefficient of variation (CV)0.6624362714
Kurtosis15.67307754
Mean2.196010601
Median Absolute Deviation (MAD)0
Skewness4.030407792
Sum108551
Variance2.116201766
MonotonicityNot monotonic
2022-02-18T23:52:32.090960image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
241616
 
10.4%
15495
 
1.4%
91792
 
0.4%
7528
 
0.1%
(Missing)352527
87.7%
ValueCountFrequency (%)
15495
 
1.4%
241616
10.4%
7528
 
0.1%
91792
 
0.4%
ValueCountFrequency (%)
91792
 
0.4%
7528
 
0.1%
241616
10.4%
15495
 
1.4%

CASTHNO2
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)0.1%
Missing396463
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean1.479708826
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:32.211876image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.025475245
Coefficient of variation (CV)0.6930250242
Kurtosis19.76505381
Mean1.479708826
Median Absolute Deviation (MAD)0
Skewness4.165269457
Sum8131
Variance1.051599478
MonotonicityNot monotonic
2022-02-18T23:52:32.312543image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
13591
 
0.9%
21758
 
0.4%
7145
 
< 0.1%
91
 
< 0.1%
(Missing)396463
98.6%
ValueCountFrequency (%)
13591
0.9%
21758
0.4%
7145
 
< 0.1%
91
 
< 0.1%
ValueCountFrequency (%)
91
 
< 0.1%
7145
 
< 0.1%
21758
0.4%
13591
0.9%

QSTVER
Real number (ℝ≥0)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.47122087
Minimum10
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:32.433581image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile10
Q112
median20
Q320
95-th percentile22
Maximum23
Range13
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.684552847
Coefficient of variation (CV)0.2681296791
Kurtosis-1.230112937
Mean17.47122087
Median Absolute Deviation (MAD)1
Skewness-0.7723795769
Sum7022697
Variance21.94503537
MonotonicityNot monotonic
2022-02-18T23:52:32.553809image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20182796
45.5%
1078777
19.6%
2143940
 
10.9%
2240651
 
10.1%
1121183
 
5.3%
1219211
 
4.8%
239820
 
2.4%
135580
 
1.4%
ValueCountFrequency (%)
1078777
19.6%
1121183
 
5.3%
1219211
 
4.8%
135580
 
1.4%
20182796
45.5%
ValueCountFrequency (%)
239820
 
2.4%
2240651
 
10.1%
2143940
 
10.9%
20182796
45.5%
135580
 
1.4%

QSTLANG
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.036068445
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:32.666530image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum20
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1887284717
Coefficient of variation (CV)0.1821583049
Kurtosis275.1387067
Mean1.036068445
Median Absolute Deviation (MAD)0
Skewness7.316712148
Sum416456
Variance0.03561843601
MonotonicityNot monotonic
2022-02-18T23:52:32.773569image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1387478
96.4%
214479
 
3.6%
201
 
< 0.1%
ValueCountFrequency (%)
1387478
96.4%
214479
 
3.6%
201
 
< 0.1%
ValueCountFrequency (%)
201
 
< 0.1%
214479
 
3.6%
1387478
96.4%

X_METSTAT
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)< 0.1%
Missing7127
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean1.308266068
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:32.943970image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4617776949
Coefficient of variation (CV)0.3529692515
Kurtosis-1.310407922
Mean1.308266068
Median Absolute Deviation (MAD)0
Skewness0.8304208067
Sum516544
Variance0.2132386395
MonotonicityNot monotonic
2022-02-18T23:52:33.045694image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1273118
67.9%
2121713
30.3%
(Missing)7127
 
1.8%
ValueCountFrequency (%)
1273118
67.9%
2121713
30.3%
ValueCountFrequency (%)
2121713
30.3%
1273118
67.9%

X_URBSTAT
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)< 0.1%
Missing7127
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean1.149691893
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:33.205990image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3567696076
Coefficient of variation (CV)0.3103175813
Kurtosis1.856471478
Mean1.149691893
Median Absolute Deviation (MAD)0
Skewness1.963787686
Sum453934
Variance0.1272845529
MonotonicityNot monotonic
2022-02-18T23:52:33.336491image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1335728
83.5%
259103
 
14.7%
(Missing)7127
 
1.8%
ValueCountFrequency (%)
1335728
83.5%
259103
 
14.7%
ValueCountFrequency (%)
259103
 
14.7%
1335728
83.5%

MSCODE
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing279833
Missing (%)69.6%
Infinite0
Infinite (%)0.0%
Mean2.999189355
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:33.475648image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.675632397
Coefficient of variation (CV)0.5586951001
Kurtosis-1.63819292
Mean2.999189355
Median Absolute Deviation (MAD)2
Skewness0.1063659665
Sum366276
Variance2.80774393
MonotonicityNot monotonic
2022-02-18T23:52:33.625077image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
545365
 
11.3%
135302
 
8.8%
321233
 
5.3%
220225
 
5.0%
(Missing)279833
69.6%
ValueCountFrequency (%)
135302
8.8%
220225
5.0%
321233
5.3%
545365
11.3%
ValueCountFrequency (%)
545365
11.3%
321233
5.3%
220225
5.0%
135302
8.8%

X_STSTR
Real number (ℝ≥0)

Distinct1601
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean301858.0588
Minimum11011
Maximum722019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:33.779401image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum11011
5-th percentile51031
Q1182059
median292089
Q3412019
95-th percentile542019
Maximum722019
Range711008
Interquartile range (IQR)229960

Descriptive statistics

Standard deviation157728.7116
Coefficient of variation (CV)0.5225260914
Kurtosis-0.6370186874
Mean301858.0588
Median Absolute Deviation (MAD)111048
Skewness0.1684433853
Sum1.213342616 × 1011
Variance2.487834647 × 1010
MonotonicityNot monotonic
2022-02-18T23:52:33.945459image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3420198607
 
2.1%
2720496074
 
1.5%
2720596041
 
1.5%
7220194878
 
1.2%
2420194864
 
1.2%
4120194381
 
1.1%
820593446
 
0.9%
420193141
 
0.8%
5420193101
 
0.8%
3620293036
 
0.8%
Other values (1591)354389
88.2%
ValueCountFrequency (%)
11011131
< 0.1%
1101211
 
< 0.1%
11021138
< 0.1%
110223
 
< 0.1%
11031145
< 0.1%
ValueCountFrequency (%)
7220194878
1.2%
7210819
 
< 0.1%
7210719
 
< 0.1%
72106113
 
< 0.1%
7210511
 
< 0.1%

X_STRWT
Real number (ℝ≥0)

Distinct1601
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.71285737
Minimum0.338038662
Maximum1540.115714
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:34.123914image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.338038662
5-th percentile3.636495761
Q115.77848566
median41.53890096
Q381.67482329
95-th percentile234.9172378
Maximum1540.115714
Range1539.777676
Interquartile range (IQR)65.89633763

Descriptive statistics

Standard deviation167.0043328
Coefficient of variation (CV)2.043795042
Kurtosis44.22800535
Mean81.71285737
Median Absolute Deviation (MAD)28.5461261
Skewness6.161878347
Sum32845136.72
Variance27890.44717
MonotonicityNot monotonic
2022-02-18T23:52:34.294043image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50.187066588607
 
2.1%
41.538900966074
 
1.5%
23.047383226041
 
1.5%
169.27431554878
 
1.2%
81.674823294864
 
1.2%
64.635987764381
 
1.1%
78.340354243446
 
0.9%
118.13990623141
 
0.8%
65.789256913101
 
0.8%
181.83205833036
 
0.8%
Other values (1591)354389
88.2%
ValueCountFrequency (%)
0.33803866233
 
< 0.1%
0.393200951333
 
< 0.1%
0.396825396851
 
< 0.1%
0.4740560952166
< 0.1%
0.483562310629
 
< 0.1%
ValueCountFrequency (%)
1540.115714724
0.2%
1504.858088494
0.1%
1457.680939848
0.2%
1384.421784927
0.2%
1377.6093341
 
< 0.1%

X_RAWRAKE
Real number (ℝ≥0)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.211029511
Minimum0.3333333333
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:34.442371image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.3333333333
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum5
Range4.666666667
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5456318096
Coefficient of variation (CV)0.4505520343
Kurtosis11.3876605
Mean1.211029511
Median Absolute Deviation (MAD)0
Skewness3.02547968
Sum486783
Variance0.2977140717
MonotonicityNot monotonic
2022-02-18T23:52:34.566085image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1328034
81.6%
254714
 
13.6%
39482
 
2.4%
0.53249
 
0.8%
43047
 
0.8%
0.66666666671533
 
0.4%
51009
 
0.3%
1.5399
 
0.1%
0.3333333333324
 
0.1%
1.33333333393
 
< 0.1%
Other values (2)74
 
< 0.1%
ValueCountFrequency (%)
0.3333333333324
 
0.1%
0.53249
 
0.8%
0.66666666671533
 
0.4%
1328034
81.6%
1.33333333393
 
< 0.1%
ValueCountFrequency (%)
51009
 
0.3%
43047
 
0.8%
39482
 
2.4%
2.550
 
< 0.1%
254714
13.6%

X_WT2RAKE
Real number (ℝ≥0)

Distinct6255
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.72671085
Minimum0.169019331
Maximum5338.969306
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:34.709211image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.169019331
5-th percentile4.183046261
Q118.73900973
median45.80987006
Q387.28825515
95-th percentile268.9384991
Maximum5338.969306
Range5338.800287
Interquartile range (IQR)68.54924542

Descriptive statistics

Standard deviation175.5332959
Coefficient of variation (CV)1.978359101
Kurtosis55.89198943
Mean88.72671085
Median Absolute Deviation (MAD)31.3552137
Skewness6.392656432
Sum35664411.24
Variance30811.93796
MonotonicityNot monotonic
2022-02-18T23:52:34.882040image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50.187066588607
 
2.1%
41.538900966074
 
1.5%
23.047383226041
 
1.5%
169.27431554878
 
1.2%
81.674823294864
 
1.2%
64.635987764381
 
1.1%
78.340354243446
 
0.9%
118.13990623141
 
0.8%
65.789256913101
 
0.8%
181.83205833036
 
0.8%
Other values (6245)354389
88.2%
ValueCountFrequency (%)
0.1690193311
 
< 0.1%
0.1918546861
 
< 0.1%
0.24039420932
< 0.1%
0.26213396751
 
< 0.1%
0.26466851474
< 0.1%
ValueCountFrequency (%)
5338.9693061
< 0.1%
5266.6666671
< 0.1%
52001
< 0.1%
4666.6666671
< 0.1%
4508.0928021
< 0.1%

X_IMPRACE
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.715883251
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:35.031519image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.464755317
Coefficient of variation (CV)0.8536450926
Kurtosis2.012373191
Mean1.715883251
Median Absolute Deviation (MAD)0
Skewness1.892192191
Sum689713
Variance2.145508139
MonotonicityNot monotonic
2022-02-18T23:52:35.143572image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1303886
75.6%
536408
 
9.1%
230390
 
7.6%
614077
 
3.5%
310243
 
2.5%
46954
 
1.7%
ValueCountFrequency (%)
1303886
75.6%
230390
 
7.6%
310243
 
2.5%
46954
 
1.7%
536408
 
9.1%
ValueCountFrequency (%)
614077
 
3.5%
536408
9.1%
46954
 
1.7%
310243
 
2.5%
230390
7.6%

X_CHISPNC
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing125339
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean7.622516891
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:35.252636image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q19
median9
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.832187813
Coefficient of variation (CV)0.3715554657
Kurtosis0.5212562765
Mean7.622516891
Median Absolute Deviation (MAD)0
Skewness-1.57942049
Sum2108533
Variance8.02128781
MonotonicityNot monotonic
2022-02-18T23:52:35.354291image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
9223550
55.6%
243514
 
10.8%
19555
 
2.4%
(Missing)125339
31.2%
ValueCountFrequency (%)
19555
 
2.4%
243514
 
10.8%
9223550
55.6%
ValueCountFrequency (%)
9223550
55.6%
243514
 
10.8%
19555
 
2.4%

X_CRACE1
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)< 0.1%
Missing345583
Missing (%)86.0%
Infinite0
Infinite (%)0.0%
Mean8.088266075
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:35.512539image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation23.46282403
Coefficient of variation (CV)2.900847204
Kurtosis10.18949112
Mean8.088266075
Median Absolute Deviation (MAD)0
Skewness3.465044504
Sum455976
Variance550.5041116
MonotonicityNot monotonic
2022-02-18T23:52:35.632390image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
139222
 
9.8%
24586
 
1.1%
993042
 
0.8%
72910
 
0.7%
62219
 
0.6%
41704
 
0.4%
31560
 
0.4%
77772
 
0.2%
5360
 
0.1%
(Missing)345583
86.0%
ValueCountFrequency (%)
139222
9.8%
24586
 
1.1%
31560
 
0.4%
41704
 
0.4%
5360
 
0.1%
ValueCountFrequency (%)
993042
0.8%
77772
 
0.2%
72910
0.7%
62219
0.6%
5360
 
0.1%

X_CPRACE
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)< 0.1%
Missing345583
Missing (%)86.0%
Infinite0
Infinite (%)0.0%
Mean8.088266075
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:35.751070image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation23.46282403
Coefficient of variation (CV)2.900847204
Kurtosis10.18949112
Mean8.088266075
Median Absolute Deviation (MAD)0
Skewness3.465044504
Sum455976
Variance550.5041116
MonotonicityNot monotonic
2022-02-18T23:52:35.910760image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
139222
 
9.8%
24586
 
1.1%
993042
 
0.8%
72910
 
0.7%
62219
 
0.6%
41704
 
0.4%
31560
 
0.4%
77772
 
0.2%
5360
 
0.1%
(Missing)345583
86.0%
ValueCountFrequency (%)
139222
9.8%
24586
 
1.1%
31560
 
0.4%
41704
 
0.4%
5360
 
0.1%
ValueCountFrequency (%)
993042
0.8%
77772
 
0.2%
72910
0.7%
62219
0.6%
5360
 
0.1%

X_CLLCPWT
Real number (ℝ≥0)

MISSING

Distinct21128
Distinct (%)38.4%
Missing347004
Missing (%)86.3%
Infinite0
Infinite (%)0.0%
Mean921.9507432
Minimum0.7655604243
Maximum102357.7258
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:36.059024image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.7655604243
5-th percentile30.82475607
Q1131.4956941
median316.3942529
Q3753.0669912
95-th percentile3437.244428
Maximum102357.7258
Range102356.9602
Interquartile range (IQR)621.5712972

Descriptive statistics

Standard deviation2372.577853
Coefficient of variation (CV)2.573432334
Kurtosis131.8115619
Mean921.9507432
Median Absolute Deviation (MAD)230.5736087
Skewness8.50782653
Sum50664881.14
Variance5629125.667
MonotonicityNot monotonic
2022-02-18T23:52:36.252127image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
257.6669959175
 
< 0.1%
182.8911697132
 
< 0.1%
365.7823395122
 
< 0.1%
214.5308265121
 
< 0.1%
261.6785308105
 
< 0.1%
181.1894908102
 
< 0.1%
12.5326320599
 
< 0.1%
90.5947453990
 
< 0.1%
50.2654563889
 
< 0.1%
262.442077487
 
< 0.1%
Other values (21118)53832
 
13.4%
(Missing)347004
86.3%
ValueCountFrequency (%)
0.76556042431
< 0.1%
1.2503233962
< 0.1%
1.3016830941
< 0.1%
1.3066032661
< 0.1%
1.5311208491
< 0.1%
ValueCountFrequency (%)
102357.72581
< 0.1%
49203.049381
< 0.1%
48484.031111
< 0.1%
47421.171621
< 0.1%
40090.975841
< 0.1%

X_DUALUSE
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.639081695
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:36.415997image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median9
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.789234405
Coefficient of variation (CV)0.6719594802
Kurtosis-1.90738095
Mean5.639081695
Median Absolute Deviation (MAD)0
Skewness-0.2548236985
Sum2266674
Variance14.35829737
MonotonicityNot monotonic
2022-02-18T23:52:36.537461image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
9224237
55.8%
1106901
26.6%
270820
 
17.6%
ValueCountFrequency (%)
1106901
26.6%
270820
 
17.6%
9224237
55.8%
ValueCountFrequency (%)
9224237
55.8%
270820
 
17.6%
1106901
26.6%

X_DUALCOR
Real number (ℝ≥0)

MISSING

Distinct106
Distinct (%)0.1%
Missing224237
Missing (%)55.8%
Infinite0
Infinite (%)0.0%
Mean0.5281715165
Minimum0.03694935463
Maximum0.9630506454
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:36.739559image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.03694935463
5-th percentile0.2794824156
Q10.4387218513
median0.5232491845
Q30.6134125576
95-th percentile0.7412420104
Maximum0.9630506454
Range0.9261012907
Interquartile range (IQR)0.1746907063

Descriptive statistics

Standard deviation0.1343434371
Coefficient of variation (CV)0.2543557025
Kurtosis-0.1013421635
Mean0.5281715165
Median Absolute Deviation (MAD)0.08916433353
Skewness0.07066579046
Sum93867.17008
Variance0.0180481591
MonotonicityNot monotonic
2022-02-18T23:52:38.379452image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.72822686755337
 
1.3%
0.47675081555053
 
1.3%
0.49062414494694
 
1.2%
0.5659151493699
 
0.9%
0.49937800113517
 
0.9%
0.61934613163497
 
0.9%
0.65296023943458
 
0.9%
0.42116794443390
 
0.8%
0.54131374453268
 
0.8%
0.72051758443205
 
0.8%
Other values (96)138603
34.5%
(Missing)224237
55.8%
ValueCountFrequency (%)
0.0369493546349
 
< 0.1%
0.2327151649764
0.2%
0.2346943887422
 
0.1%
0.2349960465728
0.2%
0.23759100661270
0.3%
ValueCountFrequency (%)
0.9630506454933
 
0.2%
0.76728483511524
0.4%
0.76530561142507
0.6%
0.76500395341105
0.3%
0.76240899342556
0.6%

X_LLCPWT2
Real number (ℝ≥0)

Distinct14823
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean647.8499495
Minimum3.685375432
Maximum20022.81913
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:38.561125image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum3.685375432
5-th percentile34.12639649
Q1149.8703394
median337.3314335
Q3719.8216106
95-th percentile2086.100807
Maximum20022.81913
Range20019.13375
Interquartile range (IQR)569.9512712

Descriptive statistics

Standard deviation1119.438395
Coefficient of variation (CV)1.727928506
Kurtosis53.54615605
Mean647.8499495
Median Absolute Deviation (MAD)240.9727987
Skewness6.0379106
Sum260408470
Variance1253142.321
MonotonicityNot monotonic
2022-02-18T23:52:38.736841image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
355.93092394605
 
1.1%
197.48419464318
 
1.1%
514.58951633512
 
0.9%
478.77227082974
 
0.7%
961.78119382370
 
0.6%
598.04775712136
 
0.5%
377.86828392049
 
0.5%
1394.3860621959
 
0.5%
198.5454041913
 
0.5%
233.48466071723
 
0.4%
Other values (14813)374399
93.1%
ValueCountFrequency (%)
3.6853754321
< 0.1%
3.9085574111
< 0.1%
4.4248992531
< 0.1%
4.5065669051
< 0.1%
4.6739215271
< 0.1%
ValueCountFrequency (%)
20022.819135
 
< 0.1%
17522.853734
 
< 0.1%
17334.180133
 
< 0.1%
17228.97428108
< 0.1%
16584.942067
 
< 0.1%

X_LLCPWT
Real number (ℝ≥0)

Distinct252225
Distinct (%)62.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean647.8499495
Minimum0.9582775488
Maximum83193.32209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:38.921155image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.9582775488
5-th percentile24.49557532
Q1113.4042733
median282.2879138
Q3663.9366409
95-th percentile2249.817874
Maximum83193.32209
Range83192.36382
Interquartile range (IQR)550.5323675

Descriptive statistics

Standard deviation1418.402069
Coefficient of variation (CV)2.189399058
Kurtosis232.0279488
Mean647.8499495
Median Absolute Deviation (MAD)210.6883624
Skewness10.86829616
Sum260408470
Variance2011864.43
MonotonicityNot monotonic
2022-02-18T23:52:39.126802image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
151.400819788
 
< 0.1%
120.635546677
 
< 0.1%
342.776503972
 
< 0.1%
31.4582927869
 
< 0.1%
175.076196168
 
< 0.1%
292.457909466
 
< 0.1%
355.52031864
 
< 0.1%
135.911361964
 
< 0.1%
157.951187862
 
< 0.1%
146.290290461
 
< 0.1%
Other values (252215)401267
99.8%
ValueCountFrequency (%)
0.95827754881
< 0.1%
1.1504208571
< 0.1%
1.2539434571
< 0.1%
1.4567209091
< 0.1%
1.4786055561
< 0.1%
ValueCountFrequency (%)
83193.322091
< 0.1%
72989.086921
< 0.1%
67722.917341
< 0.1%
65053.658311
< 0.1%
54231.451991
< 0.1%

X_RFHLTH
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.172615049
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:39.255943image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5260270118
Coefficient of variation (CV)0.448593093
Kurtosis115.1646847
Mean1.172615049
Median Absolute Deviation (MAD)0
Skewness8.444653125
Sum471342
Variance0.2767044172
MonotonicityNot monotonic
2022-02-18T23:52:39.367189image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1339301
84.4%
261696
 
15.3%
9961
 
0.2%
ValueCountFrequency (%)
1339301
84.4%
261696
 
15.3%
9961
 
0.2%
ValueCountFrequency (%)
9961
 
0.2%
261696
 
15.3%
1339301
84.4%

X_PHYS14D
Real number (ℝ≥0)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.565064012
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:39.482476image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.292507798
Coefficient of variation (CV)0.8258497979
Kurtosis20.86420049
Mean1.565064012
Median Absolute Deviation (MAD)0
Skewness4.210783493
Sum629090
Variance1.670576407
MonotonicityNot monotonic
2022-02-18T23:52:39.655366image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1278671
69.3%
271588
 
17.8%
343008
 
10.7%
98691
 
2.2%
ValueCountFrequency (%)
1278671
69.3%
271588
 
17.8%
343008
 
10.7%
98691
 
2.2%
ValueCountFrequency (%)
98691
 
2.2%
343008
 
10.7%
271588
 
17.8%
1278671
69.3%

X_MENT14D
Real number (ℝ≥0)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.622196846
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:39.809122image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.257084785
Coefficient of variation (CV)0.7749274001
Kurtosis20.61782293
Mean1.622196846
Median Absolute Deviation (MAD)0
Skewness4.075048196
Sum652055
Variance1.580262156
MonotonicityNot monotonic
2022-02-18T23:52:39.919109image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1255707
63.6%
289979
 
22.4%
348343
 
12.0%
97929
 
2.0%
ValueCountFrequency (%)
1255707
63.6%
289979
 
22.4%
348343
 
12.0%
97929
 
2.0%
ValueCountFrequency (%)
97929
 
2.0%
348343
 
12.0%
289979
 
22.4%
1255707
63.6%

X_HCVU651
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.007886396
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:40.044300image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.804252436
Coefficient of variation (CV)0.9491916835
Kurtosis-1.690533267
Mean4.007886396
Median Absolute Deviation (MAD)0
Skewness0.5414020686
Sum1611002
Variance14.47233659
MonotonicityNot monotonic
2022-02-18T23:52:40.146750image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1223524
55.6%
9147230
36.6%
231204
 
7.8%
ValueCountFrequency (%)
1223524
55.6%
231204
 
7.8%
9147230
36.6%
ValueCountFrequency (%)
9147230
36.6%
231204
 
7.8%
1223524
55.6%

X_TOTINDA
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.250894372
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:40.309771image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5319417187
Coefficient of variation (CV)0.4252491103
Kurtosis74.38298674
Mean1.250894372
Median Absolute Deviation (MAD)0
Skewness5.828233494
Sum502807
Variance0.2829619921
MonotonicityNot monotonic
2022-02-18T23:52:40.414548image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1305883
76.1%
295393
 
23.7%
9682
 
0.2%
ValueCountFrequency (%)
1305883
76.1%
295393
 
23.7%
9682
 
0.2%
ValueCountFrequency (%)
9682
 
0.2%
295393
 
23.7%
1305883
76.1%

X_MICHD
Real number (ℝ≥0)

Distinct2
Distinct (%)< 0.1%
Missing3571
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean1.9142467
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:40.546158image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2799997651
Coefficient of variation (CV)0.1462715151
Kurtosis6.755255298
Mean1.9142467
Median Absolute Deviation (MAD)0
Skewness-2.958922335
Sum762611
Variance0.07839986848
MonotonicityNot monotonic
2022-02-18T23:52:40.650495image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2364224
90.6%
134163
 
8.5%
(Missing)3571
 
0.9%
ValueCountFrequency (%)
134163
 
8.5%
2364224
90.6%
ValueCountFrequency (%)
2364224
90.6%
134163
 
8.5%

X_LTASTH1
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.161902487
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:40.763184image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5710854941
Coefficient of variation (CV)0.4915089694
Kurtosis118.3098453
Mean1.161902487
Median Absolute Deviation (MAD)0
Skewness9.198741663
Sum467036
Variance0.3261386415
MonotonicityNot monotonic
2022-02-18T23:52:40.878073image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1346449
86.2%
254142
 
13.5%
91367
 
0.3%
ValueCountFrequency (%)
1346449
86.2%
254142
 
13.5%
91367
 
0.3%
ValueCountFrequency (%)
91367
 
0.3%
254142
 
13.5%
1346449
86.2%

X_CASTHM1
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.152782131
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:40.992450image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.732956333
Coefficient of variation (CV)0.6358151406
Kurtosis92.84576562
Mean1.152782131
Median Absolute Deviation (MAD)0
Skewness9.074158811
Sum463370
Variance0.5372249861
MonotonicityNot monotonic
2022-02-18T23:52:41.111692image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1361035
89.8%
237996
 
9.5%
92927
 
0.7%
ValueCountFrequency (%)
1361035
89.8%
237996
 
9.5%
92927
 
0.7%
ValueCountFrequency (%)
92927
 
0.7%
237996
 
9.5%
1361035
89.8%

X_ASTHMS1
Real number (ℝ≥0)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.818349181
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:41.233396image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8022143737
Coefficient of variation (CV)0.2846398094
Kurtosis25.21150012
Mean2.818349181
Median Absolute Deviation (MAD)0
Skewness2.202518474
Sum1132858
Variance0.6435479013
MonotonicityNot monotonic
2022-02-18T23:52:41.392635image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3346449
86.2%
137996
 
9.5%
214586
 
3.6%
92927
 
0.7%
ValueCountFrequency (%)
137996
 
9.5%
214586
 
3.6%
3346449
86.2%
92927
 
0.7%
ValueCountFrequency (%)
92927
 
0.7%
3346449
86.2%
214586
 
3.6%
137996
 
9.5%

X_DRDXAR2
Real number (ℝ≥0)

Distinct2
Distinct (%)< 0.1%
Missing2303
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean1.68853386
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:41.511307image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4630934248
Coefficient of variation (CV)0.274257707
Kurtosis-1.337018444
Mean1.68853386
Median Absolute Deviation (MAD)0
Skewness-0.814240902
Sum674831
Variance0.2144555201
MonotonicityNot monotonic
2022-02-18T23:52:41.613444image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2275176
68.5%
1124479
31.0%
(Missing)2303
 
0.6%
ValueCountFrequency (%)
1124479
31.0%
2275176
68.5%
ValueCountFrequency (%)
2275176
68.5%
1124479
31.0%

X_EXTETH3
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.650062942
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:41.726593image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.261896943
Coefficient of variation (CV)0.7647568533
Kurtosis25.09101205
Mean1.650062942
Median Absolute Deviation (MAD)0
Skewness4.754633931
Sum663256
Variance1.592383895
MonotonicityNot monotonic
2022-02-18T23:52:41.826214image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1209239
52.1%
2182922
45.5%
99797
 
2.4%
ValueCountFrequency (%)
1209239
52.1%
2182922
45.5%
99797
 
2.4%
ValueCountFrequency (%)
99797
 
2.4%
2182922
45.5%
1209239
52.1%

X_ALTETH3
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing256096
Missing (%)63.7%
Infinite0
Infinite (%)0.0%
Mean1.867813413
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:41.946170image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.327473337
Coefficient of variation (CV)1.246095205
Kurtosis5.36471382
Mean1.867813413
Median Absolute Deviation (MAD)0
Skewness2.683430544
Sum272443
Variance5.417132135
MonotonicityNot monotonic
2022-02-18T23:52:42.056101image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1115958
28.8%
216093
 
4.0%
913811
 
3.4%
(Missing)256096
63.7%
ValueCountFrequency (%)
1115958
28.8%
216093
 
4.0%
913811
 
3.4%
ValueCountFrequency (%)
913811
 
3.4%
216093
 
4.0%
1115958
28.8%

X_DENVST3
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.416914205
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:42.168191image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9451435115
Coefficient of variation (CV)0.6670435713
Kurtosis45.18452733
Mean1.416914205
Median Absolute Deviation (MAD)0
Skewness6.015659038
Sum569540
Variance0.8932962573
MonotonicityNot monotonic
2022-02-18T23:52:42.279885image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1267045
66.4%
2130246
32.4%
94667
 
1.2%
ValueCountFrequency (%)
1267045
66.4%
2130246
32.4%
94667
 
1.2%
ValueCountFrequency (%)
94667
 
1.2%
2130246
32.4%
1267045
66.4%

X_PRACE1
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing9
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.963749132
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:42.406799image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile6
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.96872827
Coefficient of variation (CV)3.776406571
Kurtosis31.70926375
Mean3.963749132
Median Absolute Deviation (MAD)0
Skewness5.751464215
Sum1593225
Variance224.062826
MonotonicityNot monotonic
2022-02-18T23:52:42.547112image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1320045
79.6%
233271
 
8.3%
612511
 
3.1%
411248
 
2.8%
38972
 
2.2%
997068
 
1.8%
774351
 
1.1%
53239
 
0.8%
71242
 
0.3%
82
 
< 0.1%
(Missing)9
 
< 0.1%
ValueCountFrequency (%)
1320045
79.6%
233271
 
8.3%
38972
 
2.2%
411248
 
2.8%
53239
 
0.8%
ValueCountFrequency (%)
997068
1.8%
774351
 
1.1%
82
 
< 0.1%
71242
 
0.3%
612511
3.1%

X_MRACE1
Real number (ℝ≥0)

Distinct9
Distinct (%)< 0.1%
Missing9
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.056437508
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:42.688667image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile7
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.97121997
Coefficient of variation (CV)3.690731077
Kurtosis31.54404296
Mean4.056437508
Median Absolute Deviation (MAD)0
Skewness5.730266033
Sum1630481
Variance224.1374275
MonotonicityNot monotonic
2022-02-18T23:52:42.809915image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1316258
78.7%
232029
 
8.0%
611911
 
3.0%
410442
 
2.6%
79465
 
2.4%
38104
 
2.0%
997068
 
1.8%
774351
 
1.1%
52321
 
0.6%
(Missing)9
 
< 0.1%
ValueCountFrequency (%)
1316258
78.7%
232029
 
8.0%
38104
 
2.0%
410442
 
2.6%
52321
 
0.6%
ValueCountFrequency (%)
997068
1.8%
774351
 
1.1%
79465
2.4%
611911
3.0%
52321
 
0.6%

X_HISPANC
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.995666214
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:42.921413image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8321945903
Coefficient of variation (CV)0.4170008915
Kurtosis58.86190916
Mean1.995666214
Median Absolute Deviation (MAD)0
Skewness7.173069446
Sum802174
Variance0.6925478361
MonotonicityNot monotonic
2022-02-18T23:52:43.033231image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2360696
89.7%
136322
 
9.0%
94940
 
1.2%
ValueCountFrequency (%)
136322
 
9.0%
2360696
89.7%
94940
 
1.2%
ValueCountFrequency (%)
94940
 
1.2%
2360696
89.7%
136322
 
9.0%

X_RACE
Real number (ℝ≥0)

Distinct9
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.181618929
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:43.195719image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.421737342
Coefficient of variation (CV)1.110064324
Kurtosis1.850526394
Mean2.181618929
Median Absolute Deviation (MAD)0
Skewness1.881385748
Sum876917
Variance5.864811754
MonotonicityNot monotonic
2022-02-18T23:52:43.305756image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1295900
73.6%
836322
 
9.0%
230130
 
7.5%
410138
 
2.5%
98987
 
2.2%
78314
 
2.1%
36813
 
1.7%
63344
 
0.8%
52009
 
0.5%
(Missing)1
 
< 0.1%
ValueCountFrequency (%)
1295900
73.6%
230130
 
7.5%
36813
 
1.7%
410138
 
2.5%
52009
 
0.5%
ValueCountFrequency (%)
98987
 
2.2%
836322
9.0%
78314
 
2.1%
63344
 
0.8%
52009
 
0.5%

X_RACEG21
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.420358397
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:43.428468image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.222994383
Coefficient of variation (CV)0.8610463287
Kurtosis30.00918879
Mean1.420358397
Median Absolute Deviation (MAD)0
Skewness5.318261661
Sum570923
Variance1.49571526
MonotonicityNot monotonic
2022-02-18T23:52:43.537344image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1295900
73.6%
297070
 
24.1%
98987
 
2.2%
(Missing)1
 
< 0.1%
ValueCountFrequency (%)
1295900
73.6%
297070
 
24.1%
98987
 
2.2%
ValueCountFrequency (%)
98987
 
2.2%
297070
 
24.1%
1295900
73.6%

X_RACEGR3
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.788303226
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:43.668452image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.654804234
Coefficient of variation (CV)0.925348794
Kurtosis6.467073347
Mean1.788303226
Median Absolute Deviation (MAD)0
Skewness2.502963961
Sum718821
Variance2.738377052
MonotonicityNot monotonic
2022-02-18T23:52:43.778655image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1295900
73.6%
536322
 
9.0%
230130
 
7.5%
322304
 
5.5%
98987
 
2.2%
48314
 
2.1%
(Missing)1
 
< 0.1%
ValueCountFrequency (%)
1295900
73.6%
230130
 
7.5%
322304
 
5.5%
48314
 
2.1%
536322
 
9.0%
ValueCountFrequency (%)
98987
 
2.2%
536322
9.0%
48314
 
2.1%
322304
5.5%
230130
7.5%

X_RACEPRV
Real number (ℝ≥0)

Distinct8
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.011481328
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:43.896339image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.201681458
Coefficient of variation (CV)1.094557244
Kurtosis2.671759189
Mean2.011481328
Median Absolute Deviation (MAD)0
Skewness2.078353194
Sum808529
Variance4.847401242
MonotonicityNot monotonic
2022-02-18T23:52:44.012428image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1303886
75.6%
836408
 
9.1%
230389
 
7.6%
410243
 
2.5%
78314
 
2.1%
36954
 
1.7%
63754
 
0.9%
52009
 
0.5%
(Missing)1
 
< 0.1%
ValueCountFrequency (%)
1303886
75.6%
230389
 
7.6%
36954
 
1.7%
410243
 
2.5%
52009
 
0.5%
ValueCountFrequency (%)
836408
9.1%
78314
 
2.1%
63754
 
0.9%
52009
 
0.5%
410243
 
2.5%

X_SEX
Real number (ℝ≥0)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.542412391
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:44.183088image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4981985614
Coefficient of variation (CV)0.3229995844
Kurtosis-1.971020029
Mean1.542412391
Median Absolute Deviation (MAD)0
Skewness-0.1702638493
Sum619985
Variance0.2482018065
MonotonicityNot monotonic
2022-02-18T23:52:44.384874image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2218027
54.2%
1183931
45.8%
ValueCountFrequency (%)
1183931
45.8%
2218027
54.2%
ValueCountFrequency (%)
2218027
54.2%
1183931
45.8%

X_AGEG5YR
Real number (ℝ≥0)

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.667363257
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:44.498102image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median8
Q311
95-th percentile13
Maximum14
Range13
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.660209108
Coefficient of variation (CV)0.4773752052
Kurtosis-1.009186748
Mean7.667363257
Median Absolute Deviation (MAD)3
Skewness-0.2335225152
Sum3081958
Variance13.39713072
MonotonicityNot monotonic
2022-02-18T23:52:44.628583image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1041570
10.3%
941151
10.2%
1137972
9.4%
836219
9.0%
1331456
7.8%
731110
 
7.7%
1226607
 
6.6%
626428
 
6.6%
525729
 
6.4%
125648
 
6.4%
Other values (4)78068
19.4%
ValueCountFrequency (%)
125648
6.4%
220911
5.2%
323408
5.8%
425492
6.3%
525729
6.4%
ValueCountFrequency (%)
148257
 
2.1%
1331456
7.8%
1226607
6.6%
1137972
9.4%
1041570
10.3%

X_AGE65YR
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.383420656
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:44.747454image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.526776842
Coefficient of variation (CV)0.3807784998
Kurtosis-0.3567184114
Mean1.383420656
Median Absolute Deviation (MAD)0
Skewness0.8969673559
Sum556077
Variance0.2774938412
MonotonicityNot monotonic
2022-02-18T23:52:44.903261image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1256096
63.7%
2137605
34.2%
38257
 
2.1%
ValueCountFrequency (%)
1256096
63.7%
2137605
34.2%
38257
 
2.1%
ValueCountFrequency (%)
38257
 
2.1%
2137605
34.2%
1256096
63.7%

X_AGE80
Real number (ℝ≥0)

Distinct63
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.42922146
Minimum18
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:45.097638image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile23
Q140
median57
Q369
95-th percentile80
Maximum80
Range62
Interquartile range (IQR)29

Descriptive statistics

Standard deviation17.66672341
Coefficient of variation (CV)0.3245815931
Kurtosis-0.984169547
Mean54.42922146
Median Absolute Deviation (MAD)14
Skewness-0.3248883575
Sum21878261
Variance312.1131162
MonotonicityNot monotonic
2022-02-18T23:52:45.271690image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8031459
 
7.8%
659457
 
2.4%
608925
 
2.2%
708773
 
2.2%
628684
 
2.2%
688658
 
2.2%
668617
 
2.1%
678581
 
2.1%
638381
 
2.1%
648333
 
2.1%
Other values (53)292090
72.7%
ValueCountFrequency (%)
183406
0.8%
193395
0.8%
203479
0.9%
213819
1.0%
223793
0.9%
ValueCountFrequency (%)
8031459
7.8%
794302
 
1.1%
784900
 
1.2%
775772
 
1.4%
765447
 
1.4%

X_AGE_G
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.348444365
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:45.407022image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.61544866
Coefficient of variation (CV)0.371500363
Kurtosis-0.8805764221
Mean4.348444365
Median Absolute Deviation (MAD)1
Skewness-0.5998191278
Sum1747892
Variance2.609674374
MonotonicityNot monotonic
2022-02-18T23:52:45.522004image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6139831
34.8%
578089
19.4%
462033
15.4%
351971
 
12.9%
244382
 
11.0%
125652
 
6.4%
ValueCountFrequency (%)
125652
 
6.4%
244382
11.0%
351971
12.9%
462033
15.4%
578089
19.4%
ValueCountFrequency (%)
6139831
34.8%
578089
19.4%
462033
15.4%
351971
 
12.9%
244382
 
11.0%

HTIN4
Real number (ℝ≥0)

MISSING

Distinct55
Distinct (%)< 0.1%
Missing23808
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean66.99402089
Minimum36
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:45.750866image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile60
Q164
median67
Q370
95-th percentile74
Maximum95
Range59
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.188529139
Coefficient of variation (CV)0.06252093967
Kurtosis-0.08369710786
Mean66.99402089
Median Absolute Deviation (MAD)3
Skewness0.08109408755
Sum25333789
Variance17.54377635
MonotonicityNot monotonic
2022-02-18T23:52:45.906947image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6633784
 
8.4%
6433015
 
8.2%
6730496
 
7.6%
6529791
 
7.4%
7028639
 
7.1%
6828092
 
7.0%
6326416
 
6.6%
7226256
 
6.5%
6926091
 
6.5%
6225160
 
6.3%
Other values (45)90410
22.5%
(Missing)23808
 
5.9%
ValueCountFrequency (%)
3622
< 0.1%
385
 
< 0.1%
392
 
< 0.1%
404
 
< 0.1%
413
 
< 0.1%
ValueCountFrequency (%)
951
 
< 0.1%
941
 
< 0.1%
922
< 0.1%
903
< 0.1%
893
< 0.1%

HTM4
Real number (ℝ≥0)

MISSING

Distinct110
Distinct (%)< 0.1%
Missing21731
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean170.12426
Minimum91
Maximum241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:46.080592image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum91
5-th percentile152
Q1163
median170
Q3178
95-th percentile188
Maximum241
Range150
Interquartile range (IQR)15

Descriptive statistics

Standard deviation10.72350659
Coefficient of variation (CV)0.06303337683
Kurtosis0.2101810792
Mean170.12426
Median Absolute Deviation (MAD)8
Skewness0.0133407868
Sum64685837
Variance114.9935935
MonotonicityNot monotonic
2022-02-18T23:52:46.245029image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16833847
 
8.4%
16333065
 
8.2%
17030667
 
7.6%
16529951
 
7.5%
17828687
 
7.1%
17328136
 
7.0%
16026591
 
6.6%
18326274
 
6.5%
17526199
 
6.5%
15725192
 
6.3%
Other values (100)91618
22.8%
ValueCountFrequency (%)
9122
< 0.1%
975
 
< 0.1%
992
 
< 0.1%
1002
 
< 0.1%
1013
 
< 0.1%
ValueCountFrequency (%)
2411
 
< 0.1%
2391
 
< 0.1%
2342
< 0.1%
2293
< 0.1%
2263
< 0.1%

WTKG3
Real number (ℝ≥0)

MISSING

Distinct553
Distinct (%)0.2%
Missing34948
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean8232.038645
Minimum2268
Maximum29030
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:46.419545image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum2268
5-th percentile5443
Q16804
median7938
Q39299
95-th percentile12020
Maximum29030
Range26762
Interquartile range (IQR)2495

Descriptive statistics

Standard deviation2099.405702
Coefficient of variation (CV)0.2550286499
Kurtosis2.557249982
Mean8232.038645
Median Absolute Deviation (MAD)1225
Skewness1.04426937
Sum3021240503
Variance4407504.301
MonotonicityNot monotonic
2022-02-18T23:52:46.605149image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
907219745
 
4.9%
816518493
 
4.6%
680416636
 
4.1%
725716606
 
4.1%
771115192
 
3.8%
861813276
 
3.3%
635012357
 
3.1%
793810698
 
2.7%
748410001
 
2.5%
99799809
 
2.4%
Other values (543)224197
55.8%
(Missing)34948
 
8.7%
ValueCountFrequency (%)
22689
< 0.1%
23001
 
< 0.1%
23593
 
< 0.1%
24491
 
< 0.1%
24955
< 0.1%
ValueCountFrequency (%)
290301
< 0.1%
288481
< 0.1%
285762
< 0.1%
283501
< 0.1%
282001
< 0.1%

X_BMI5
Real number (ℝ≥0)

MISSING

Distinct3769
Distinct (%)1.0%
Missing41357
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean2830.631271
Minimum1202
Maximum9843
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:46.822650image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1202
5-th percentile2012
Q12399
median2732
Q33138
95-th percentile4018
Maximum9843
Range8641
Interquartile range (IQR)739

Descriptive statistics

Standard deviation638.164868
Coefficient of variation (CV)0.2254496637
Kurtosis4.189581971
Mean2830.631271
Median Absolute Deviation (MAD)365
Skewness1.363828952
Sum1020728467
Variance407254.3988
MonotonicityNot monotonic
2022-02-18T23:52:46.987461image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26634233
 
1.1%
27443099
 
0.8%
27463076
 
0.8%
24413042
 
0.8%
27122904
 
0.7%
25102552
 
0.6%
28702193
 
0.5%
29532149
 
0.5%
32282117
 
0.5%
29292100
 
0.5%
Other values (3759)333136
82.9%
(Missing)41357
 
10.3%
ValueCountFrequency (%)
12022
< 0.1%
12081
< 0.1%
12131
< 0.1%
12161
< 0.1%
12201
< 0.1%
ValueCountFrequency (%)
98431
< 0.1%
94851
< 0.1%
94661
< 0.1%
93971
< 0.1%
93861
< 0.1%

X_BMI5CAT
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing41357
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean2.981791509
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:47.126776image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8318307747
Coefficient of variation (CV)0.2789701333
Kurtosis-1.152615331
Mean2.981791509
Median Absolute Deviation (MAD)1
Skewness-0.1392031367
Sum1075237
Variance0.6919424377
MonotonicityNot monotonic
2022-02-18T23:52:47.233793image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3128946
32.1%
4115541
28.7%
2110121
27.4%
15993
 
1.5%
(Missing)41357
 
10.3%
ValueCountFrequency (%)
15993
 
1.5%
2110121
27.4%
3128946
32.1%
4115541
28.7%
ValueCountFrequency (%)
4115541
28.7%
3128946
32.1%
2110121
27.4%
15993
 
1.5%

X_RFBMI5
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.431351037
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:47.348083image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.268121282
Coefficient of variation (CV)0.9328645876
Kurtosis4.284531655
Mean2.431351037
Median Absolute Deviation (MAD)0
Skewness2.422414022
Sum977301
Variance5.144374151
MonotonicityNot monotonic
2022-02-18T23:52:47.457641image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2244487
60.8%
1116114
28.9%
941357
 
10.3%
ValueCountFrequency (%)
1116114
28.9%
2244487
60.8%
941357
 
10.3%
ValueCountFrequency (%)
941357
 
10.3%
2244487
60.8%
1116114
28.9%

X_CHLDCNT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.671512944
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:47.574155image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.463689325
Coefficient of variation (CV)0.8756673587
Kurtosis11.49829595
Mean1.671512944
Median Absolute Deviation (MAD)0
Skewness3.161320198
Sum671878
Variance2.14238644
MonotonicityNot monotonic
2022-02-18T23:52:47.694614image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1289105
71.9%
243345
 
10.8%
336227
 
9.0%
415832
 
3.9%
98418
 
2.1%
55874
 
1.5%
63157
 
0.8%
ValueCountFrequency (%)
1289105
71.9%
243345
 
10.8%
336227
 
9.0%
415832
 
3.9%
55874
 
1.5%
ValueCountFrequency (%)
98418
 
2.1%
63157
 
0.8%
55874
 
1.5%
415832
3.9%
336227
9.0%

X_EDUCAG
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.017588902
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:47.814551image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.040572707
Coefficient of variation (CV)0.3448358079
Kurtosis3.602385555
Mean3.017588902
Median Absolute Deviation (MAD)1
Skewness0.4921345948
Sum1212944
Variance1.082791558
MonotonicityNot monotonic
2022-02-18T23:52:47.913767image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4155340
38.6%
3111387
27.7%
2107096
26.6%
126248
 
6.5%
91887
 
0.5%
ValueCountFrequency (%)
126248
 
6.5%
2107096
26.6%
3111387
27.7%
4155340
38.6%
91887
 
0.5%
ValueCountFrequency (%)
91887
 
0.5%
4155340
38.6%
3111387
27.7%
2107096
26.6%
126248
 
6.5%

X_INCOMG
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.902537081
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:48.033534image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.39789659
Coefficient of variation (CV)0.489113402
Kurtosis-0.5438844328
Mean4.902537081
Median Absolute Deviation (MAD)1
Skewness0.4483992586
Sum1970614
Variance5.749908057
MonotonicityNot monotonic
2022-02-18T23:52:48.144484image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5171265
42.6%
980057
19.9%
248767
 
12.1%
443851
 
10.9%
331410
 
7.8%
126608
 
6.6%
ValueCountFrequency (%)
126608
 
6.6%
248767
 
12.1%
331410
 
7.8%
443851
 
10.9%
5171265
42.6%
ValueCountFrequency (%)
980057
19.9%
5171265
42.6%
443851
 
10.9%
331410
 
7.8%
248767
 
12.1%

X_SMOKER3
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.648065221
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:48.289427image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.563232976
Coefficient of variation (CV)0.4285101502
Kurtosis5.046701504
Mean3.648065221
Median Absolute Deviation (MAD)0
Skewness1.59132343
Sum1466369
Variance2.443697337
MonotonicityNot monotonic
2022-02-18T23:52:48.424582image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4224535
55.9%
3103835
25.8%
138152
 
9.5%
921100
 
5.2%
214336
 
3.6%
ValueCountFrequency (%)
138152
 
9.5%
214336
 
3.6%
3103835
25.8%
4224535
55.9%
921100
 
5.2%
ValueCountFrequency (%)
921100
 
5.2%
4224535
55.9%
3103835
25.8%
214336
 
3.6%
138152
 
9.5%

X_RFSMOK3
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.550525179
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:48.534414image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.785235486
Coefficient of variation (CV)1.151374715
Kurtosis12.92374334
Mean1.550525179
Median Absolute Deviation (MAD)0
Skewness3.792256841
Sum623246
Variance3.187065741
MonotonicityNot monotonic
2022-02-18T23:52:48.643988image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1328370
81.7%
252488
 
13.1%
921100
 
5.2%
ValueCountFrequency (%)
1328370
81.7%
252488
 
13.1%
921100
 
5.2%
ValueCountFrequency (%)
921100
 
5.2%
252488
 
13.1%
1328370
81.7%

DRNKANY5
Real number (ℝ≥0)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.971798049
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:48.813627image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.877478378
Coefficient of variation (CV)0.9521656539
Kurtosis8.817690771
Mean1.971798049
Median Absolute Deviation (MAD)1
Skewness3.130595776
Sum792580
Variance3.524925061
MonotonicityNot monotonic
2022-02-18T23:52:48.916807image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1191565
47.7%
2183618
45.7%
923177
 
5.8%
73598
 
0.9%
ValueCountFrequency (%)
1191565
47.7%
2183618
45.7%
73598
 
0.9%
923177
 
5.8%
ValueCountFrequency (%)
923177
 
5.8%
73598
 
0.9%
2183618
45.7%
1191565
47.7%

DROCDY3_
Real number (ℝ≥0)

ZEROS

Distinct36
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.03152817
Minimum0
Maximum900
Zeros183618
Zeros (%)45.7%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:49.082001image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q329
95-th percentile900
Maximum900
Range900
Interquartile range (IQR)29

Descriptive statistics

Standard deviation221.8410608
Coefficient of variation (CV)2.917750914
Kurtosis9.685974203
Mean76.03152817
Median Absolute Deviation (MAD)3
Skewness3.387185735
Sum30561481
Variance49213.45626
MonotonicityNot monotonic
2022-02-18T23:52:49.254151image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0183618
45.7%
327715
 
6.9%
90026775
 
6.7%
10022603
 
5.6%
721224
 
5.3%
1416147
 
4.0%
2913039
 
3.2%
1011984
 
3.0%
1710038
 
2.5%
1310021
 
2.5%
Other values (26)58794
 
14.6%
ValueCountFrequency (%)
0183618
45.7%
327715
 
6.9%
721224
 
5.3%
1011984
 
3.0%
1310021
 
2.5%
ValueCountFrequency (%)
90026775
6.7%
10022603
5.6%
97331
 
0.1%
93932
 
0.2%
90253
 
0.1%

X_RFBING5
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.745538091
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:49.378349image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.133128605
Coefficient of variation (CV)1.222046437
Kurtosis7.428149512
Mean1.745538091
Median Absolute Deviation (MAD)0
Skewness3.028865693
Sum701633
Variance4.550237644
MonotonicityNot monotonic
2022-02-18T23:52:49.480621image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1321376
80.0%
249283
 
12.3%
931299
 
7.8%
ValueCountFrequency (%)
1321376
80.0%
249283
 
12.3%
931299
 
7.8%
ValueCountFrequency (%)
931299
 
7.8%
249283
 
12.3%
1321376
80.0%

X_DRNKWK1
Real number (ℝ≥0)

ZEROS

Distinct276
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7905.765197
Minimum0
Maximum99900
Zeros184681
Zeros (%)45.9%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:49.681835image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median23
Q3420
95-th percentile99900
Maximum99900
Range99900
Interquartile range (IQR)420

Descriptive statistics

Standard deviation26465.03982
Coefficient of variation (CV)3.347562084
Kurtosis8.154754993
Mean7905.765197
Median Absolute Deviation (MAD)23
Skewness3.184796654
Sum3177785567
Variance700398332.6
MonotonicityNot monotonic
2022-02-18T23:52:49.849512image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0184681
45.9%
9990030691
 
7.6%
2319020
 
4.7%
4715250
 
3.8%
70011433
 
2.8%
9311340
 
2.8%
14008451
 
2.1%
2008156
 
2.0%
1008099
 
2.0%
4007190
 
1.8%
Other values (266)97647
24.3%
ValueCountFrequency (%)
0184681
45.9%
2319020
 
4.7%
4715250
 
3.8%
707137
 
1.8%
9311340
 
2.8%
ValueCountFrequency (%)
9990030691
7.6%
532008
 
< 0.1%
496531
 
< 0.1%
490001
 
< 0.1%
462001
 
< 0.1%

X_RFDRHV7
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.670433229
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:49.990566image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.12055974
Coefficient of variation (CV)1.269466928
Kurtosis7.90670304
Mean1.670433229
Median Absolute Deviation (MAD)0
Skewness3.125867305
Sum671444
Variance4.496773612
MonotonicityNot monotonic
2022-02-18T23:52:50.096689image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1347309
86.4%
930691
 
7.6%
223958
 
6.0%
ValueCountFrequency (%)
1347309
86.4%
223958
 
6.0%
930691
 
7.6%
ValueCountFrequency (%)
930691
 
7.6%
223958
 
6.0%
1347309
86.4%

X_FLSHOT7
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing256096
Missing (%)63.7%
Infinite0
Infinite (%)0.0%
Mean2.118776652
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:50.217127image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.392071025
Coefficient of variation (CV)1.128986872
Kurtosis4.189307204
Mean2.118776652
Median Absolute Deviation (MAD)0
Skewness2.426163878
Sum309049
Variance5.722003788
MonotonicityNot monotonic
2022-02-18T23:52:50.332378image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
189425
 
22.2%
241187
 
10.2%
915250
 
3.8%
(Missing)256096
63.7%
ValueCountFrequency (%)
189425
22.2%
241187
10.2%
915250
 
3.8%
ValueCountFrequency (%)
915250
 
3.8%
241187
10.2%
189425
22.2%

X_PNEUMO3
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing256096
Missing (%)63.7%
Infinite0
Infinite (%)0.0%
Mean2.314009132
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:50.453964image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.670353387
Coefficient of variation (CV)1.153994317
Kurtosis2.330873391
Mean2.314009132
Median Absolute Deviation (MAD)0
Skewness2.039027278
Sum337526
Variance7.130787213
MonotonicityNot monotonic
2022-02-18T23:52:50.573687image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
191734
 
22.8%
234480
 
8.6%
919648
 
4.9%
(Missing)256096
63.7%
ValueCountFrequency (%)
191734
22.8%
234480
 
8.6%
919648
 
4.9%
ValueCountFrequency (%)
919648
 
4.9%
234480
 
8.6%
191734
22.8%

X_RFSEAT2
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.573136994
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:50.746898image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.973558357
Coefficient of variation (CV)1.254536867
Kurtosis10.07910907
Mean1.573136994
Median Absolute Deviation (MAD)0
Skewness3.452708099
Sum632335
Variance3.894932589
MonotonicityNot monotonic
2022-02-18T23:52:50.848830image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1354988
88.3%
926201
 
6.5%
220769
 
5.2%
ValueCountFrequency (%)
1354988
88.3%
220769
 
5.2%
926201
 
6.5%
ValueCountFrequency (%)
926201
 
6.5%
220769
 
5.2%
1354988
88.3%

X_RFSEAT3
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.639718578
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:50.969047image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.969964541
Coefficient of variation (CV)1.201404051
Kurtosis9.711678764
Mean1.639718578
Median Absolute Deviation (MAD)0
Skewness3.372521836
Sum659098
Variance3.880760293
MonotonicityNot monotonic
2022-02-18T23:52:51.081456image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1328225
81.7%
247532
 
11.8%
926201
 
6.5%
ValueCountFrequency (%)
1328225
81.7%
247532
 
11.8%
926201
 
6.5%
ValueCountFrequency (%)
926201
 
6.5%
247532
 
11.8%
1328225
81.7%

X_DRNKDRV
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.645045005
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:51.239511image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median9
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.50986485
Coefficient of variation (CV)0.6217602955
Kurtosis-1.986878616
Mean5.645045005
Median Absolute Deviation (MAD)0
Skewness-0.09233598613
Sum2269071
Variance12.31915127
MonotonicityNot monotonic
2022-02-18T23:52:51.351906image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
9209955
52.2%
2187473
46.6%
14530
 
1.1%
ValueCountFrequency (%)
14530
 
1.1%
2187473
46.6%
9209955
52.2%
ValueCountFrequency (%)
9209955
52.2%
2187473
46.6%
14530
 
1.1%

X_RFMAM22
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing235983
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean1.877909324
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:51.506268image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.104832568
Coefficient of variation (CV)1.120838233
Kurtosis7.140132413
Mean1.877909324
Median Absolute Deviation (MAD)0
Skewness2.942769928
Sum311686
Variance4.430320138
MonotonicityNot monotonic
2022-02-18T23:52:51.615780image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1109955
27.4%
243207
 
10.7%
912813
 
3.2%
(Missing)235983
58.7%
ValueCountFrequency (%)
1109955
27.4%
243207
 
10.7%
912813
 
3.2%
ValueCountFrequency (%)
912813
 
3.2%
243207
 
10.7%
1109955
27.4%

X_MAM5023
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)< 0.1%
Missing306666
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean1.219294379
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:51.738593image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4137706505
Coefficient of variation (CV)0.3393525448
Kurtosis-0.1589724501
Mean1.219294379
Median Absolute Deviation (MAD)0
Skewness1.356845933
Sum116189
Variance0.1712061512
MonotonicityNot monotonic
2022-02-18T23:52:51.851812image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
174395
 
18.5%
220897
 
5.2%
(Missing)306666
76.3%
ValueCountFrequency (%)
174395
18.5%
220897
 
5.2%
ValueCountFrequency (%)
220897
 
5.2%
174395
18.5%

X_RFPAP35
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)< 0.1%
Missing304555
Missing (%)75.8%
Infinite0
Infinite (%)0.0%
Mean1.223237477
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:51.961987image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4164184029
Coefficient of variation (CV)0.340423189
Kurtosis-0.2330210201
Mean1.223237477
Median Absolute Deviation (MAD)0
Skewness1.329279416
Sum119147
Variance0.1734042863
MonotonicityNot monotonic
2022-02-18T23:52:52.115558image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
175659
 
18.8%
221744
 
5.4%
(Missing)304555
75.8%
ValueCountFrequency (%)
175659
18.8%
221744
 
5.4%
ValueCountFrequency (%)
221744
 
5.4%
175659
18.8%

X_RFPSA23
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing275354
Missing (%)68.5%
Infinite0
Infinite (%)0.0%
Mean2.337161543
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:52.228148image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.203378416
Coefficient of variation (CV)0.9427582883
Kurtosis4.966888613
Mean2.337161543
Median Absolute Deviation (MAD)0
Skewness2.544883538
Sum295894
Variance4.854876443
MonotonicityNot monotonic
2022-02-18T23:52:52.334356image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
273330
 
18.2%
141279
 
10.3%
911995
 
3.0%
(Missing)275354
68.5%
ValueCountFrequency (%)
141279
10.3%
273330
18.2%
911995
 
3.0%
ValueCountFrequency (%)
911995
 
3.0%
273330
18.2%
141279
10.3%

X_CLNSCPY
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing224036
Missing (%)55.7%
Infinite0
Infinite (%)0.0%
Mean1.58026551
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:52.453516image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8728051431
Coefficient of variation (CV)0.5523155051
Kurtosis-1.049984473
Mean1.58026551
Median Absolute Deviation (MAD)0
Skewness0.9226521922
Sum281164
Variance0.7617888178
MonotonicityNot monotonic
2022-02-18T23:52:52.568332image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1120782
30.0%
346102
 
11.5%
211038
 
2.7%
(Missing)224036
55.7%
ValueCountFrequency (%)
1120782
30.0%
211038
 
2.7%
346102
 
11.5%
ValueCountFrequency (%)
346102
 
11.5%
211038
 
2.7%
1120782
30.0%

X_SGMSCPY
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing230472
Missing (%)57.3%
Infinite0
Infinite (%)0.0%
Mean2.85195876
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:52.694479image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4438082712
Coefficient of variation (CV)0.1556152485
Kurtosis8.79943865
Mean2.85195876
Median Absolute Deviation (MAD)0
Skewness-3.086924049
Sum489071
Variance0.1969657816
MonotonicityNot monotonic
2022-02-18T23:52:52.803637image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3152173
37.9%
213239
 
3.3%
16074
 
1.5%
(Missing)230472
57.3%
ValueCountFrequency (%)
16074
 
1.5%
213239
 
3.3%
3152173
37.9%
ValueCountFrequency (%)
3152173
37.9%
213239
 
3.3%
16074
 
1.5%

X_SGMS10Y
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing230472
Missing (%)57.3%
Infinite0
Infinite (%)0.0%
Mean2.836663051
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:52.922707image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4879450778
Coefficient of variation (CV)0.1720137602
Kurtosis7.727284866
Mean2.836663051
Median Absolute Deviation (MAD)0
Skewness-2.983534348
Sum486448
Variance0.238090399
MonotonicityNot monotonic
2022-02-18T23:52:53.040509image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3152173
37.9%
210616
 
2.6%
18697
 
2.2%
(Missing)230472
57.3%
ValueCountFrequency (%)
18697
 
2.2%
210616
 
2.6%
3152173
37.9%
ValueCountFrequency (%)
3152173
37.9%
210616
 
2.6%
18697
 
2.2%

X_RFBLDS4
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing226105
Missing (%)56.3%
Infinite0
Infinite (%)0.0%
Mean2.578989269
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:53.166112image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6730066711
Coefficient of variation (CV)0.2609575306
Kurtosis0.3897794574
Mean2.578989269
Median Absolute Deviation (MAD)0
Skewness-1.318259939
Sum453523
Variance0.4529379794
MonotonicityNot monotonic
2022-02-18T23:52:53.277094image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3120209
29.9%
237252
 
9.3%
118392
 
4.6%
(Missing)226105
56.3%
ValueCountFrequency (%)
118392
 
4.6%
237252
 
9.3%
3120209
29.9%
ValueCountFrequency (%)
3120209
29.9%
237252
 
9.3%
118392
 
4.6%

X_STOLDNA
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing225601
Missing (%)56.1%
Infinite0
Infinite (%)0.0%
Mean2.880906343
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:53.403586image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4513059767
Coefficient of variation (CV)0.1566541647
Kurtosis12.19923398
Mean2.880906343
Median Absolute Deviation (MAD)0
Skewness-3.709039981
Sum508068
Variance0.2036770846
MonotonicityNot monotonic
2022-02-18T23:52:53.515017image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3164063
40.8%
18709
 
2.2%
23585
 
0.9%
(Missing)225601
56.1%
ValueCountFrequency (%)
18709
 
2.2%
23585
 
0.9%
3164063
40.8%
ValueCountFrequency (%)
3164063
40.8%
23585
 
0.9%
18709
 
2.2%

X_VIRCOLN
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing227684
Missing (%)56.6%
Infinite0
Infinite (%)0.0%
Mean2.938458978
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:53.644272image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3251887464
Coefficient of variation (CV)0.1106664237
Kurtosis28.24165084
Mean2.938458978
Median Absolute Deviation (MAD)0
Skewness-5.40212071
Sum512097
Variance0.1057477208
MonotonicityNot monotonic
2022-02-18T23:52:53.755057image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3167731
41.7%
14182
 
1.0%
22361
 
0.6%
(Missing)227684
56.6%
ValueCountFrequency (%)
14182
 
1.0%
22361
 
0.6%
3167731
41.7%
ValueCountFrequency (%)
3167731
41.7%
22361
 
0.6%
14182
 
1.0%

X_SBONTIM
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing207741
Missing (%)51.7%
Infinite0
Infinite (%)0.0%
Mean2.537295911
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:53.881684image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5119272764
Coefficient of variation (CV)0.2017609669
Kurtosis-1.544531792
Mean2.537295911
Median Absolute Deviation (MAD)0
Skewness-0.2999353915
Sum492786
Variance0.2620695363
MonotonicityNot monotonic
2022-02-18T23:52:53.983624image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3105659
26.3%
287251
21.7%
11307
 
0.3%
(Missing)207741
51.7%
ValueCountFrequency (%)
11307
 
0.3%
287251
21.7%
3105659
26.3%
ValueCountFrequency (%)
3105659
26.3%
287251
21.7%
11307
 
0.3%

X_CRCREC1
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing226260
Missing (%)56.3%
Infinite0
Infinite (%)0.0%
Mean1.417278512
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:54.110482image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7627272277
Coefficient of variation (CV)0.5381632624
Kurtosis0.2332310012
Mean1.417278512
Median Absolute Deviation (MAD)0
Skewness1.424674096
Sum249013
Variance0.5817528239
MonotonicityNot monotonic
2022-02-18T23:52:54.222330image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1132128
32.9%
329745
 
7.4%
213825
 
3.4%
(Missing)226260
56.3%
ValueCountFrequency (%)
1132128
32.9%
213825
 
3.4%
329745
 
7.4%
ValueCountFrequency (%)
329745
 
7.4%
213825
 
3.4%
1132128
32.9%

X_AIDTST4
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing34037
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean2.040280386
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 MiB
2022-02-18T23:52:54.351037image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.680522189
Coefficient of variation (CV)0.8236721779
Kurtosis12.10212421
Mean2.040280386
Median Absolute Deviation (MAD)0
Skewness3.559878759
Sum750662
Variance2.824154829
MonotonicityNot monotonic
2022-02-18T23:52:54.500972image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2232101
57.7%
1116990
29.1%
918830
 
4.7%
(Missing)34037
 
8.5%
ValueCountFrequency (%)
1116990
29.1%
2232101
57.7%
918830
 
4.7%
ValueCountFrequency (%)
918830
 
4.7%
2232101
57.7%
1116990
29.1%